What's the Role All About?

The Tech Manager is a senior technical leadership role responsible for driving the design, delivery, and quality of AI-driven and Conversational AI solutions across the NICE CXone ecosystem. With 15+ years of experience, you will lead and mentor a high-performing engineering team, bring deep expertise in AI models, AWS Knowledge Hub, and AWS Cloud, and serve as a key technical authority across cross-functional delivery teams. This role blends hands-on technical depth with strong people management, ensuring both engineering excellence and team growth.

How Will You Make an Impact?

Technical Leadership:

• Define and govern technical standards and best practices for AI and Conversational AI solution delivery.
• Provide hands-on guidance on the design and implementation of integrations using APIs, modern web technologies, and authentication standards.
• Lead the development of proofs of concept (PoCs) and production-ready solution components leveraging AWS Cloud, AWS Knowledge Hub, and AI/ML models.
• Drive prompt engineering, conversational design, and AI orchestration best practices across the team.
• Oversee testing, validation, and go-live activities to ensure solutions meet quality, performance, security, and usability standards.

People Management & Team Development:

• Lead, mentor, and develop a team of engineers — conducting performance reviews, supporting career growth, and fostering a culture of continuous learning.
• Define and uphold engineering standards, coding guidelines, and delivery frameworks across the team.
• Identify skill gaps and build team capability in emerging areas such as Generative AI, AWS services, and enterprise conversational platforms.
• Drive a collaborative, inclusive, and high-accountability team culture.

Technical Problem Solving & Quality:

• Diagnose and resolve complex technical challenges across SaaS applications, cloud environments, AI integrations, and data flows.
• Ensure all implementations meet enterprise-grade standards for quality, scalability, security, and performance.
• Produce and review key documentation including architecture specifications, test strategies, and deployment materials.

Delivery & Process Excellence:

• Drive Agile/Scrum delivery practices including sprint planning, retrospectives, and release management.
• Define and continuously improve engineering processes, documentation standards, and delivery frameworks.
• Align technical roadmap planning with business priorities and stakeholder expectations.
• Manage escalations effectively and maintain strong cross-functional collaboration with Implementation Engineers, Consultants, Project Managers, and Customer Success teams.

Collaboration & Stakeholder Engagement:

• Partner with senior stakeholders, customers, and cross-functional teams to translate business requirements into technical solutions.
• Participate in customer workshops, design reviews, and technical discussions — communicating architecture decisions and implementation strategies with clarity and confidence.
• Maintain transparent and consistent communication across all delivery teams.

Have You Got What It Takes?

Experience & Education:

• Bachelor's degree in Computer Science, Information Systems, Electrical Engineering, or equivalent work experience.
• 15+ years of professional experience in software engineering or technical delivery roles, with a focus on AI, digital channels, or bot/conversational applications preferred.
• 5+ years in a technical leadership or people management role (Engineering Manager, Tech Lead, or similar).

Technical & Architecture Skills:

• 7+ years of hands-on software development experience, with at least 2–3 years in a tech lead or architect capacity.
• Strong proficiency in modern programming languages such as Java, Python, C#, or JavaScript/TypeScript.
• Deep knowledge of AWS Cloud services and AWS Knowledge Hub; familiarity with Azure or GCP is a plus.
• Proven experience working with AI/ML models, Generative AI frameworks, and enterprise AI orchestration patterns.
• Strong expertise in:
• Web APIs, SOAP, and REST implementations
• Modern authentication standards (OAuth2, OIDC, SAML)
• Browser and web security (CORS, X-Frame Options)
• HTML/CSS and front-end fundamentals
• Prompt engineering and AI integration patterns
• Solid understanding of CI/CD pipelines, DevOps practices, and software architecture principles.
• Proficiency in databases (SQL/NoSQL) and data integration patterns.
• Strong understanding of conversational UX, AI-driven interfaces, and enterprise AI platforms.

Leadership & People Management:

• Demonstrated experience managing and growing engineering teams, including performance management and career development planning.
• Ability to define technical vision, establish engineering standards, and align team deliverables with organisational goals.
• Strong stakeholder management skills, including handling escalations and influencing at senior levels.
• Experience driving technical roadmap planning across multi-disciplinary teams.

Communication & Collaboration:

• Clear, confident written and verbal communication skills.
• Comfortable engaging with customers and senior stakeholders to articulate technical decisions, solution architecture, and delivery strategy.
• Effective leader in design reviews, sprint planning, technical discussions, and delivery execution.

Delivery & Process:

• Experience defining and improving engineering processes, documentation standards, and delivery governance.
• Strong track record of authoring and reviewing design documents, functional requirements, test strategies, and deployment guides.
• Experienced in Agile/Scrum environments with a focus on predictable, high-quality delivery.
• Willingness to work in US shift hours (5 PM – 2 AM IST).

You Will Have an Advantage If You Also Have:

• Hands-on experience with NICE CXone products or other cloud-based contact centre platforms.
• Experience with enterprise conversational AI platforms such as NICE CXone, Kore.ai, Amelia, Dialogflow, or similar.
• Exposure to Generative AI tools, LLM fine-tuning, or RAG-based architectures.

What's in It for You?

Join an ever-growing, market-disrupting, global company where the teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX! At NICE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility — 2 days working from the office and 3 days of remote work each week. Office days focus on face-to-face collaboration, where teamwork and creative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10786

Reporting Into: Director , Engineering 

Role Type: People Management

Overview:

Guidepoint Engineering seeks an experienced Scrum Master as an integral member of the Toronto-based Technology Hub. The Toronto Hub will serve as the base of our new Data/AI team, dedicated to building a modern data infrastructure for advanced analytics and the development of responsible AI. This strategic investment is integral to Guidepoint’s vision for the future, aiming to develop cutting-edge Generative AI and analytical capabilities that will underpin Guidepoint’s Next-Gen research enablement platform and data products.

What You'll Do:

• Facilitate all ceremonies and planning events for multiple teams including the daily stand-up, sprint planning, sprint review and sprint retrospective, release planning.
• Guide the teams to help understand how to estimate features and capabilities, supporting realistic commitments.
• Collaborate with external teams to address any blocking issues, helping Scrum teams to remain focused on their goals. Represent Scrum teams at appropriate ceremonies, including Scrum of Scrums.
• Work with Product Owners to set OKRs linked to epics in JIRA and ensure a healthy backlog.
• Establish standard set of agile metrics across multiple teams to improve performance in quality, predictability, flow, and velocity, while supporting team focus on daily, sprint and release goals.
• Mentor, motivate and drive process improvements with team members
• Facilitate retrospectives to help identify areas of opportunity for improvement and take responsibility for identified actions.

Required Technical Qualifications: 

• 8+ years’ experience in a Scrum Master role with strong knowledge in Agile principles and practices. Scrum master certification is a plus.
• Experience being scrum master for multiple globally distributed teams.
• Expert knowledgeable of Jira and Confluence, required.
• Working knowledge of OKRs and its implementation in Jira.
• Capable of motivating teams to take ownership of their processes.
• Strong interpersonal and influencing skills with the ability to interact at all levels within a global and diverse organization.
• Comfortable and composed working in a high-pressure environment to meet deadlines.
• Strong drive for results, resourceful with ability to prioritize and work independently or in groups.
• Excellent verbal and written communication skills.
• Consensus building and negotiating skills.

What We Offer: 

• Competitive compensation 
• Employee medical coverage 
• Central office location 
• Entrepreneurial environment, autonomy, and fast decisions 
• Casual work environment 

About Guidepoint:

Guidepoint is a leading research enablement platform designed to advance understanding and empower our clients’ decision-making process. Powered by innovative technology, real-time data, and hard-to-source expertise, we help our clients to turn answers into action.

Backed by a network of nearly 1.75 million experts and Guidepoint’s 1,600 employees worldwide, we inform leading organizations’ research by delivering on-demand intelligence and research on request. With Guidepoint, companies and investors can better navigate the abundance of information available today, making it both more useful and more powerful.

At Guidepoint, our success relies on the diversity of our employees, advisors, and client base, which allows us to create connections that offer a wealth of perspectives. We are committed to upholding policies that contribute to an equitable and welcoming environment for our community, regardless of background, identity, or experience.

#LI-AD2

#LI-Hybrid

What's the Role All About? 

 The Manager, Business Consulting (AI Adoption ), is a pivotal leadership role within our Customer Services Automation AI Center of Excellence. This position will lead a team responsible for driving measurable adoption, consumption, and business value across our AI customer base.

This is a people leadership role focused on ensuring customers achieve sustained usage and operational impact from AI solutions such as Copilot, AutoSummary, Autopilot, and Conversational AI. You will lead a team of consultants, partner cross-functionally across Customer Success, Product, Delivery, Sales, and Engineering, and help build the repeatable motions required to scale AI adoption globally.

This role is not focused on feature enablement alone. It is focused on business outcomes, workflow integration, value realization, and adoption at scale.

How Will You Make an Impact? 

As the Manager,Business Consultant, you will

• Lead and develop a team of AI Adoption Consultants
• Drive adoption and consumption outcomes across a portfolio of enterprise AI customers
• Build and improve repeatable adoption playbooks, scorecards, and operating rhythms
• Partner with internal teams to remove blockers and accelerate customer time-to-value
• Translate AI usage into business value, operational KPI improvement, and executive-ready narratives

Team Leadership

• Manage, coach, and develop a team of AI Adoption Consultants
• Set clear expectations, inspect quality of work, and drive a high-performance culture
• Support hiring, onboarding, capability building, and talent development
• Ensure team execution is aligned to customer outcomes and business priorities

AI Adoption & Value Realization

• Lead adoption strategy across a portfolio of enterprise AI customers
• Ensure customers achieve sustained usage targets and measurable business impact
• Identify adoption gaps, usage risks, and underconsumption patterns, and drive recovery plans
• Oversee adoption scorecards, account reviews, and executive-ready action plans
• Reduce time-to-value and improve adoption consistency across the portfolio

Workflow & Operational Transformation

• Guide teams in embedding AI into contact center workflows, agent routines, and customer journeys
• Help customers redesign processes to improve containment, reduce manual effort, and increase productivity
• Ensure AI solutions are operationalized, not just deployed

Cross-Functional Leadership

• Partner with Customer Success, Product, Engineering, Delivery, Sales, Education, and Support teams to accelerate adoption outcomes
• Escalate systemic blockers and influence action across internal stakeholders
• Bring customer insights and Day 2+ feedback into product and process improvement discussions

Business Value Storytelling

• Connect AI adoption to contact center KPIs and business outcomes
• Help customers and internal stakeholders understand the operational and financial impact of AI
• Support executive business reviews with clear, data-driven insights and recommendations.

Success Measures

Success in this role will be measured by:

• Sustained AI usage growth across assigned customer portfolio
• Achievement of adoption targets within six months of go-live
• Reduction in time-to-value
• Improvement in operational KPIs such as AHT, ACW, containment, CSAT, and agent productivity
• Quality and consistency of team execution
• Customer satisfaction, executive confidence, and referenceability

Have You Got What It Takes? 

• 18+ years of experience in contact center, CCaaS, customer success, professional services, digital transformation, AI adoption, or value realization
• 4+ years of experience leading direct reports in a customer-facing or consulting environment
• Strong experience working with enterprise customers in complex, matrixed environments
• Proven success driving measurable business outcomes and KPI improvement
• Strong understanding of contact center operations and key service metrics, including: AHT, ACW, FCR, Containment, Service Level, Occupancy, Agent Productivity
• Experience leading cross-functional initiatives involving AI, automation, workflow redesign, or conversational AI
• Strong executive communication, coaching, and stakeholder management skills
• Strong analytical and problem-solving ability with a bias for action

You Will Have an Advantage If You Also Have: 

• Experience with NICE, Genesys, Five9, or other CCaaS platforms
• Experience with conversational AI or automation platforms such as Cognigy, Amelia, or Omilia
• Experience in SaaS, CCaaS, or large-scale service operations
• Change management training or certification
• Familiarity with generative AI and enterprise AI use cases

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy NiCE-FLEX!  

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Requisition ID -  10422

Reporting Into: Director , Professional Services

Role Type: People Management 

About the Role

NICE is seeking a talented AI Engineer to accelerate innovation across the APAC region by leading AI-centric Proof of Concepts (POCs) and Pilots alongside our extended solution and sales engineering teams. This role sits at the intersection of cutting-edge AI development and customer-facing technical delivery, with a special focus on Agentic AI solutions that push the boundaries of what is possible with intelligent automation and large language models.

The AI Engineer will work hands-on to design, build, and demonstrate AI-powered solutions, translating complex technical capabilities into tangible business value for customers across APAC.

How will you make an impact?

Agentic AI POCs & Pilots

• Design and build Agentic AI proofs of concept

     Architect and develop end-to-end Agentic AI solutions demonstrating autonomous decision-making, multi-step reasoning, and task orchestration across APAC customer engagements.

• Prototype rapidly

     Build lightweight, demonstrable prototypes using LLMs, agent frameworks, and NICE /Cognigy platform APIs to showcase the art of the possible.

Development & Engineering

• Develop and integrate APIs, webhooks, and microservices connecting LLMs and AI models to enterprise platforms and CX workflows.
• Build and maintain reusable AI accelerator assets, code templates, and demo environments for the extended APAC team.
• Implement prompt engineering strategies, RAG pipelines, and agent orchestration frameworks LLM & AI Model Expertise
• Apply knowledge of large language models (GPT-4, Claude, Gemini, Llama, etc.) to design appropriate solutions for customer use cases.
• Evaluate and select the right model, fine-tuning approach, or retrieval strategy for each POC based on accuracy, latency, and cost requirements.
• Stay current with the rapidly evolving LLM ecosystem including model releases, agent frameworks, and emerging AI tooling.

Collaboration & Knowledge Sharing

• Contribute to internal playbooks, documentation, and demo libraries to uplift the broader team’s AI capabilities.
• Engage with customers directly to understand requirements and translate them into practical AI solution designs.

Have you got what it takes?

• Bachelor’s degree in computer science, Software Engineering, or a related field or equivalent experience.
• 4-8 years of software development experience in developing high performance, highly available and scalable enterprise-grade software products that can perform, scale, and integrate into a broad enterprise ecosystem.

Programming proficiency:

.

• Experience with REST APIs, JSON, cloud SDKs
• Familiarity with data processing, vector databases and embedding pipelines for RAG architecture.
• Ability to debug, iterate quickly, and deliver working demos under tight timelines.

AI & Machine Learning Understanding

• Solid conceptual and practical understanding of machine learning fundamentals, NLP/NLU, and generative AI.
• Experience designing or building Agentic AI systems — including tool use, memory, planning, and multi-agent coordination.
• Understanding of responsible AI practices, hallucination mitigation, and evaluation methodologies for LLM outputs.

LLM Usage & Prompt Engineering

• Proficient with LLM APIs     including OpenAI, Anthropic Claude, Google Gemini, Azure OpenAI, and open-source models via Hugging Face or Ollama.
• Strong prompt engineering skills: few-shot prompting, chain-of-thought, structured outputs, and system prompt design.

Version Control & Collaboration Tools

• GitHub / Git proficiency:

     Comfortable with branching strategies, pull requests, code reviews, and collaborative development workflows.

• Ability to manage, share, and version AI demo assets and code in shared repositories accessible to the extended team.
• Experience with CI/CD basics and familiarity with tools such as GitHub Actions, or similar pipelines, is advantageous.

.

You will have an advantage if you also have:

• Experience with NICE CXone, Cognigy (conversational AI & agent orchestration platform), or similar CCaaS / conversational AI platforms.
• Knowledge of the APAC technology landscape and experience working with enterprise customers in the region.
• Background in contact centre, CX, or enterprise SaaS environments.
• Exposure to voice AI, speech-to-text/text-to-speech pipelines, or real-time AI in contact Centre contexts.

What’s in it for You?

Join an ever-growing, market-disrupting, global company where teams — comprised of the best of the best — work in a fast-paced, collaborative, and creative environment. As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about AI, innovative at heart, and excited to constantly raise the bar on what intelligent technology can do, you may just be our next NICEr!

Enjoy NICE-FLEX!

At NICE, we work according to the NICE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10692                

Reporting into: Director,Solution Engineering

About the Role

We are looking for a Senior Staff Software Engineer to join the Veeam Data Cloud (VDC) engineering team at its highest individual contributor tier. In this role, you will shape the long-term technical direction of VDC, operating with organization-wide scope and influence. You will define architectural standards, resolve the most complex and ambiguous engineering challenges, and mentor a generation of Staff and senior engineers.

This is a rare opportunity to be a founding technical voice on greenfield projects — designing next-generation data protection services that will be deployed and relied upon worldwide. You will be a trusted partner to engineering leadership, product management, and cross-functional stakeholders, bridging technical excellence with business strategy.

What You’ll Do

• Technical Strategy & Architecture

  • Own and drive the multi-year technical roadmap for the Veeam Data Cloud platform, aligning engineering decisions with company strategy.
  • Define, communicate, and enforce architectural standards, design patterns, and engineering principles across multiple teams and product areas.
  • Lead architectural reviews for major systems, proactively identifying structural risks and establishing long-term scalability and resilience frameworks.
  • Author foundational technical design documents (RFCs, ADRs) that serve as the engineering blueprint for the broader organization.

  Engineering Execution & Excellence

  • Personally contribute to the most critical, highest-complexity engineering challenges across the organization — including those that span team boundaries.
  • Design and develop highly reliable, planet-scale SaaS microservices integrated with managed cloud services (Azure, AWS, GCP) using Golang and modern cloud-native patterns.
  • Establish and champion engineering quality standards: testing philosophy, observability, performance benchmarks, security posture, and release reliability.
  • Drive the adoption of emerging engineering practices — including AI-powered developer tooling, automated code generation, and LLM-assisted testing and debugging.

  Organizational Leadership & Influence

  • Serve as the primary technical escalation point across engineering — resolving the most ambiguous, cross-cutting problems that no individual team can own alone.
  • Partner with engineering managers and directors to set execution standards, unblock delivery, and ensure timely, predictable outcomes across multiple teams.
  • Represent engineering in cross-functional leadership forums (product, security, infrastructure, finance) and act as a decision-maker on technical trade-offs with business impact.
  • Drive the organization-wide engineering culture: nurturing psychological safety, technical curiosity, and a bias toward measurable outcomes.

  Mentorship & Talent Development

  • Provide deep technical mentorship to Staff, Senior, and mid-level engineers, accelerating their growth and expanding team capability.
  • Lead structured technical coaching, design review sessions, and architectural war-games to sharpen engineering judgment across the organization.
  • Identify, recruit, and help retain top engineering talent; actively shape the interview process and hiring bar for senior roles.

  Operational Ownership

  • Participate in on-call rotation and lead incident response for critical production events, driving root cause analysis and systematic resolution.
  • Own post-incident reviews and embed learnings into platform improvements and operational runbooks.

What You’ll Bring

• 15+ years of progressive software engineering experience, with a proven track record as a principal-level individual contributor.
• Demonstrated expertise designing, building, and operating SaaS or large-scale cloud services on Azure, AWS, or GCP at organization-defining scale.
• Deep expertise in Go (Golang) and/or other systems-grade modern languages (C#, Java, Rust, Scala); polyglot mindset with language-agnostic design thinking.
• Mastery of distributed systems: event-driven architecture, eventual consistency, high-availability design, and fault-tolerant microservices.
• Expert-level command of container orchestration (Kubernetes, Docker) and cloud-native infrastructure patterns.
• Exceptional communication and leadership skills — able to drive clarity and alignment across engineering, product, and executive audiences.
• Strong computer science fundamentals: data structures, algorithms, concurrency, and systems design.
• A track record of delivering greenfield projects from zero to production at scale, with full ownership of quality, security, and reliability.

Bonus Skills

• Experience leveraging AI capabilities (LLMs, generative AI, co-pilot tooling) in product development workflows — either as a feature builder or as a force-multiplier for engineering productivity. 
• Hands-on experience building AI-powered features into SaaS products: integrating model APIs, designing prompt pipelines, or building AI-assisted developer experiences.
• Background in data protection, backup, disaster recovery, or storage infrastructure.
• Experience in platform or infrastructure engineering serving other engineering teams as internal customers.

What You’ll Get

• 18 paid vacation days, plus 4 extra global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares
• Private medical coverage for you and up to four dependents
• Life, accident, and disability insurance with enhanced coverage
• Annual flexible wellbeing allowance for physical and mental wellness
• Free confidential counselling and coaching via Employee Assistance Program (EAP), including legal and financial advice
• Meal, fuel, and transportation benefits based on work arrangement
• Daycare reimbursement and safe cab facility for eligible employees
• Opportunities to learn and grow through on-demand libraries (LinkedIn Learning, O’Reilly), mentoring, workshops, and learning events like our annual Global Day of Learning

Please note: If the applicant is permanently located outside India, Veeam reserves the right to decline the application. 

#LI-KP1

About the Role

We are seeking a Data Governance & AI Trust Manager to define and operationalize the governance framework that enables high‑quality, well‑governed data to safely and effectively power GenAI agents, copilots, and analytics across the company.

As the organization accelerates adoption of Generative AI, the quality, structure, provenance, and clarity of corporate operating data have become critical enablers of AI performance, trustworthiness, and value. This role exists to ensure that the company’s operating data ecosystem is intentionally designed, consistently governed, and fit for AI‑enabled use cases, rather than fragmented, ambiguous, or ad‑hoc.

This role reports to the CISO & CIO and operates as a cross‑functional data governance authority across all company content. It does not own or manage the data itself; content ownership remains with business and platform owners. Instead, this role defines the standards, policies, and operating expectations under which data is created, managed, shared, retained, and made eligible for analytics and GenAI use.

A core responsibility of the role is to set the vision for the company’s internal data ecosystem—including how platforms such as SharePoint, Confluence, Jira, Slack, Teams, and related systems should be used together—and to establish clear operational standards (for example, when content belongs in SharePoint versus Confluence, and how that decision impacts AI use).

Governance is expected to be operationalized through native platform controls and existing enterprise tooling, rather than through standalone or heavyweight governance systems. The role translates governance principles into practical, enforceable standards that improve data quality, reduce ambiguity, and materially improve GenAI outcomes.

This is not a traditional data engineering or compliance analyst role. Success requires strong program ownership, the ability to drive cross‑functional alignment without direct authority, and sound judgment at the intersection of data quality, AI trust, security, and business operations.

Your Day‑to‑Day

Governance Framework Design & Ownership

• Own and evolve the company’s Corporate Operating Data Governance framework
• Define governance standards for unstructured and semi‑structured data across collaboration and productivity platforms
• Establish clear ownership models (Data Owners, Data Stewards, Custodians) for operating data domains
• Ensure governance practices enable business velocity rather than obstruct it
• Operationalize governance through native platform capabilities (e.g., metadata, permissions, retention, labeling, workflows) rather than standalone governance tooling

Metadata, Classification & AI Eligibility

• Define and maintain metadata standards, including:
  • Data classification
  • Purpose of use
  • Lifecycle state
  • AI eligibility and exclusion rules
• Partner with Security and Legal to ensure alignment with privacy, regulatory, and contractual obligations
• Embed metadata and classification standards directly into existing platforms rather than creating parallel systems

Data Quality & Trustworthiness

• Establish fitness‑for‑purpose data quality expectations for corporate operating data
• Define quality signals for:
  • Accuracy
  • Completeness
  • Timeliness
  • Consistency
• Partner with business teams to identify high‑risk or high‑impact data domains
• Ensure AI‑enabled experiences are grounded in authoritative, explainable, and traceable data sources

Lifecycle, Retention & Risk Management

• Define lifecycle expectations for operating data, including creation, maintenance, archival, and deletion
• Coordinate retention and defensibility standards to support legal, compliance, and audit needs
• Reduce long‑term risk from unmanaged or over‑retained unstructured data
• Support eDiscovery and investigation readiness through clarity and traceability

Cross‑Functional Execution & Enablement

• Drive accountability across Product, Engineering, Security, Legal, IT, and Business teams
• Establish practical governance cadences, reporting, and decision forums
• Provide authoritative guidance and operating standards while enabling teams with clear, pragmatic direction
• Foster a data‑aware and AI‑responsible culture through enablement and education rather than enforcement alone

What You Bring to the Team

• 6+ years of experience in data governance, data management, AI governance, security, or related operational leadership roles
• Experience governing unstructured or operational data (e.g., collaboration platforms, knowledge systems, document repositories)
• Strong understanding of data quality concepts and lifecycle management
• Familiarity with AI risk considerations including data provenance, bias, privacy, and misuse
• Demonstrated ability to drive cross‑functional execution without direct authority
• Excellent written and verbal communication skills for executive and technical audiences
• Sound judgment balancing governance rigor with business pragmatism
• High degree of ownership and follow‑through

What We’d Like to See (Not Required)

• Experience supporting AI governance, AI enablement, or responsible AI initiatives
• Exposure to regulated environments (HIPAA, HITRUST, SOC 2, GovRAMP, or similar)
• Familiarity with collaboration platforms such as Jira, Confluence, Slack, and Microsoft 365
• Experience partnering closely with Security, Legal, or Risk teams
• SaaS or data‑platform operating environment experience

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

About the Role

As a Product Owner in the AI Solutions team, you will play a pivotal role in translating strategic direction into actionable product increments. You will work closely with engineering teams in India, Nepal, and the US to ensure that our generative AI platform delivers measurable value to healthcare payers, with a focus on key business cases (i.e. Payment Integrity) and unstructured data solutions. This is an execution-focused role, responsible for the “how” of delivery and sprint cadence, while closely partnering with the Senior Product Manager who drives the “what” and “why.”

Your day to day

• Create and maintain a structured product backlog for GenAI solutions, ensuring clear problem statements, acceptance criteria, and definitions of done.
• Own GenAI stories in Jira, maintaining distinct boards, sprint cadences, and capacity visibility as defined by team processes.
• Break down high-level product and governance objectives into actionable user stories and tasks.
• Lead grooming sessions with engineers, data modeling, stakeholders, and others to clarify scope, estimate effort, and prioritize work based on business value and readiness.
• Drive sprint planning, coordinate daily stand-ups for the AI team, and proactively remove blockers to ensure commitments are met and deliverables align with the roadmap.
• Define and execute acceptance testing for completed features, verifying that data traceability, outputs, and governance capabilities meet requirements.
• Coordinate with security and compliance to ensure features meet auditability, observability, and hallucination control guardrails.
• Prepare release notes, user guides, and internal training materials; support deployments with DevOps and ensure client-facing documentation reflects new capabilities.
• Act as a liaison between product leadership, engineering, data modeling, and platform teams; communicate progress and issues clearly.
• Track and report on key SDLC metrics (burndown, velocity, throughput, capacity) and maintain a knowledge base of FAQs, lessons learned, and key decisions.
• Champion continuous improvement by applying agile best practices, identifying process bottlenecks, and leveraging AI tools for backlog management and documentation.

What you bring to the team

• 3+ years as a Product Owner or similar role in a data-driven environment, ideally supporting AI, data platforms, or healthcare products.
• Experience working with distributed engineering teams, preferably across US and India time zones, and familiarity with Scrum/Agile methodologies and tools (e.g., Jira, Confluence).
• Demonstrated ability to translate strategic product direction into actionable backlog items, groom stories with engineers, and manage sprint cadence.
• Strong understanding of the software development lifecycle (SDLC) and release management, with the ability to coordinate acceptance testing and quality assurance.
• Exposure to healthcare data (claims, clinical, or payer workflows) and AI/ML technologies.
• Excellent communication and organizational skills; comfortable interfacing with technical and non-technical stakeholders across product, engineering, security, and sales.
• Fluency in English (required for India-based roles).

What we would like to see, but not required

• Experience with healthcare interoperability standards (e.g., HL7 V2, FHIR, X12).
• Experience with cloud technologies (AWS, Azure, GCP), Databricks, or Snowflake.
• Prior work in a high-growth, fast-paced startup environment.

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

So, what’s the role all about?

The AI Automation Expert – Professional Services is responsible for designing, building, and scaling AI‑driven automations that improve efficiency, quality, and cost‑to‑serve across Actimize Professional Services. This role focuses on integrating enterprise systems, understanding professional services delivery processes end‑to‑end, and implementing AI solutions that deliver measurable business value.

The role works closely with PS leadership, AI Champions, and enterprise AI governance teams to execute approved automation initiatives aligned to defined ROI and cost optimization priorities.

How will you make an impact?  

AI Automation Design & Engineering

• Design and implement AI‑powered automations using generative AI, agent‑based frameworks, and workflow orchestration technologies.
• Build and maintain secure integrations (APIs, MCP‑style connectors) across PS systems such as CRM, project management, delivery tooling, ticketing, and document repositories.
• Develop reusable automation components, agents, and frameworks that scale across PS engagements and regions.
• Ensure solutions are production‑ready, secure, compliant, and aligned to enterprise AI standards.

Professional Services Process Enablement

• Develop deep understanding of Actimize Professional Services delivery models, implementation methodologies, and governance processes.
• Identify high‑impact opportunities to reduce manual effort, cycle time, and delivery risk through AI automation.
• Collaborate with PS stakeholders (Delivery Leads, Program Managers, Architects, Managed Services teams) to validate automation fit within existing processes.
• Embed AI solutions into standard PS workflows rather than creating parallel processes.

ROI & Value Realization

• Execute AI automation initiatives based on cost optimization, ROI targets, and prioritization direction provided by AI Champions and leadership.
• Define success metrics for automations (e.g., effort reduction, time savings, quality improvements).
• Track and report realized benefits to stakeholders and continuously optimize solutions to increase value.
• Support prioritization by providing technical feasibility and effort assessments.

Scaling, Adoption & Governance

• Package successful automations into scalable PS assets, playbooks, and reusable tools.
• Support rollout and adoption of AI automations across PS teams through documentation, onboarding guidance, and best practices.
• Partner with enterprise AI, security, and architecture teams to ensure responsible and compliant AI use.
• Contribute to internal knowledge sharing and AI capability maturity within Professional Services.

Have you got what it takes?

• 4+ years of experience in automation, systems integration, or software engineering roles.
• Hands‑on experience designing AI‑enabled solutions (generative AI, agents, workflow automation).
• Strong experience integrating enterprise systems using APIs and event‑based architectures.
• Proven ability to translate business requirements into scalable technical solutions.
• Experience working within professional services, consulting, or delivery organizations is strongly preferred.

You will have an advantage if you also have:

• Experience with agent‑based architectures or MCP‑style integration patterns.
• Familiarity with cloud platforms and enterprise SaaS tooling.
• Experience working in regulated, security‑conscious environments.
• Exposure to AI governance, risk, and compliance frameworks.
• Strong communication skills with the ability to engage both technical and non‑technical stakeholders.

What’s in it for you?

Join an ever‑growing, market‑disrupting global company where teams—comprised of the best of the best—work in a fast‑paced, collaborative, and innovative environment. As the market leader, every day at NICE is a chance to learn, grow, and make an impact, with endless opportunities across roles, domains, and geographies.

 Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10756
Reporting into: Director
Role Type: Individual Contributor

Overview of 66degrees

66degrees is an end-to-end AI transformation partner that guides enterprises from complex business challenges to clear, quantifiable outcomes. Our company is the culmination of several successful firms, each a leader in its own right in cloud, artificial intelligence, and data. This convergence of talent and expertise is how we help businesses reach their own "inflection point," where chaotic data becomes a strategic asset, complexity becomes clarity, and AI becomes an engine for growth. Our ultimate vision is to be the catalyst for a future where every business operates as an intelligent enterprise, with autonomous systems unlocking human potential.

At 66degrees, we believe in thriving through challenges and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professional and personal growth along the way.

Overview of Role

66degrees Software Engineers within the Innovation team are catalysts for future growth. You will leverage your strong development foundation to explore emerging technologies, identify new opportunities, and rapidly prototype high-impact "accelerators" and minimum viable products (MVPs) for our clients. Partnering with cross-functional experts in AI, data, and cloud engineering, you will move beyond mission-critical application delivery to actively shape the next generation of intelligent enterprise solutions. This role is for a highly motivated and exploratory individual passionate about turning complex challenges into clear, quantifiable outcomes and driving new value for the business.

Responsibilities

• Design, develop, and maintain end-to-end full stack applications, combining scalable backend systems with intuitive frontend interfaces.
• Build and manage data-heavy backend systems, with a strong focus on data engineering, data warehousing, and data modeling.
• Develop and maintain ETL/ELT pipelines using Python to ingest and process data from structured and unstructured sources into cloud data platforms.
• Create responsive and high-performance user interfaces using React.js, enabling rich data visualizations and seamless user interactions.
• Work with Big Data technologies and cloud data warehouses (e.g., BigQuery, Snowflake) to ensure efficient data processing at scale.
• Leverage cloud platforms (GCP) and services like Cloud Run, Cloud Functions, or equivalent to build and deploy scalable microservices.
• Collaborate with cross-functional teams (AI, Data, Cloud, Product) to translate business requirements into scalable technical solutions.
• Implement CI/CD pipelines, automated testing (TDD), and best engineering practices to ensure high-quality and reliable software delivery.
• Experiment with and implement AI/ML and Generative AI use cases, contributing to rapid prototyping of MVPs and accelerators.
• Continuously explore emerging technologies and contribute to innovation-driven product development within the organization. 

Qualifications

• 3–8 years of experience in full stack development with strong expertise in Python (backend) and React.js (frontend).
• Hands-on experience in Data Engineering, Data Warehousing, and processing large-scale datasets (e.g., BigQuery, Snowflake).
• Strong understanding of ETL/ELT pipelines, data modeling, and data architecture principles.
• Experience working with cloud platforms (GCP preferred, AWS/Azure acceptable) and deploying scalable applications.
• Familiarity with Big Data ecosystems and distributed data processing frameworks is a plus.
• Working knowledge of REST APIs, microservices architecture, and backend system design.
• Proficiency with Git, CI/CD pipelines, and Agile/Scrum methodologies.
• Exposure to or strong interest in AI/ML and Generative AI technologies (LLMs, prompt engineering, etc.) is highly desirable.
• Strong problem-solving skills and analytical thinking, with the ability to work on ambiguous and evolving requirements.
• Excellent communication and collaboration skills, with the ability to bridge technical and business perspectives.
• Demonstrated learning mindset, adaptability, and curiosity, with exposure to diverse technologies or domains being a plus.

We value candidates who demonstrate a balance of technical depth (data/backend) and breadth (frontend, AI, product thinking), along with a strong attitude and willingness to learn.

66degrees is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to actual or perceived race, color, religion, sex, gender, gender identity, national origin, age, weight, height, marital status, sexual orientation, veteran status, disability status or other legally protected class.

ABOUT US 

Ensono is a hybrid IT services provider that sees a world in transformation. We understand the world of business has become more complex, layered, and interdependent because we’re enabling the IT infrastructure for that transformation. Our clients are some of the most innovative and forward-thinking companies in the world and we help keep their businesses thriving. With nearly 50 years of experience, we optimize and modernize IT infrastructure by amplifying the power of mainframes and mid-range servers with the agility of cloud. Check us out at www.ensono.com.

Job Summary

The Senior IT Process Analyst is responsible for designing, implementing, and operationalizing advanced AI-driven solutions to improve IT Service Management (ITSM) processes and tool efficiency. This role serves as a technical AI authority and evangelist, applying Machine Learning, Natural Language Processing (NLP), Generative AI, and predictive analytics to enhance decision-making, automation, and operational outcomes within ITSM practices.

The position focuses on translating complex operational data into explainable, scalable, and production-ready AI solutions, integrating these capabilities into enterprise ITSM tools through API-based architectures. The role supports continual process improvement by embedding AI insights into daily ITSM operations, governance forums, and performance management practices.

Duties and Responsibilities

• Design and implement AI and ML solutions to optimize ITSM processes and operational decision-making.
• Apply machine learning techniques (classification, clustering, anomaly detection) to ITSM data.
• Develop NLP models for analysis and automation of ticket, change, and knowledge data.
• Integrate Generative AI / LLM capabilities for summarization, recommendations, and content generation.
• Perform feature engineering and data preprocessing on noisy and incomplete ITSM datasets.
• Build predictive models for risk assessment, failure prediction, and trend analysis.
• Implement rules-based and AI hybrid decision models with confidence scoring.
• Monitor, evaluate, and continuously improve AI model performance in production.
• Integrate AI solutions into ITSM platforms using API-based architecture.
• Apply Explainable AI techniques to support transparency and operational trust.
• Act as an AI subject matter expert, supporting adoption, documentation, and knowledge transfer.

Qualifications & Skills

Required

• Bachelor’s Degree with 6–10 years of experience in AI, Machine Learning, Data Science, or related technical fields.
• Hands‑on expertise in Machine Learning, Natural Language Processing, and Generative AI / Large Language Models.
• Strong experience in feature engineering, predictive modeling, and data quality management.
• Proficiency in Python and SQL for analytics, model development, and ITSM data analysis.
• Experience with JSON, YAML, and JavaScript / TypeScript for API integration and service orchestration.
• Proven ability to integrate AI solutions into enterprise platforms using RESTful, API‑based architectures.
• Experience in AI model evaluation, monitoring, and continuous improvement.
• Knowledge of Explainable AI (XAI) for transparent operational decision support.

Preferred

• Experience with ServiceNow or ITSM platforms.
• Familiarity with MLOps and AI governance.
• Knowledge of ITIL-based ITSM processes.

Ensono is an equal opportunity employer and is committed to building a diverse and inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, or veteran status.

•Are you curious, excited by experimentation and always looking to innovate?
•Do you want to work in embedded payments where you can keep learning and developing whilst getting hands-on experience?
•Do you want to have the opportunity to play an important role in a rapidly growing and exciting Fintech business?
If so, we would love to connect and collaborate!

About us
At Modulr, our vision is a world where all businesses are powered by embedded payments. Modulr enables businesses, from SMEs to Enterprise, initially across the UK and Europe to efficiently pay-in, collect and disburse funds instantly via a range of payment schemes, accounts, and card products.
We have created an industry-leading API platform with comprehensive online tools and access, to meet the demands of daily business payments. We have two routes to market. Our Core Business Payments product allows customers in any sector to connect to us and our expanding network of accounting and payroll platforms, including Sage, Xero, BrightPay and IRIS to automate payments. Our Vertical Solutions targets a growing range of industry verticals which directly connect their IT platforms to our APIs and webhooks. We solve complex payment problems for hundreds of clients in a range of industries, including Travel, Lending, Wage Advance, and Investment & Wealth.
We are deeply integrated into the payment eco-system. In the UK, we are direct participants of Faster Payments and Bacs. Modulr hold settlement accounts at the Bank of England. Our payment network connectivity includes CHAPS, Open Banking, SEPA, SWIFT and account issuance in multiple currencies. We are principal issuing members of Visa and Mastercard schemes across UK and Europe. Our regulatory permissions and governance structure are the foundations of our business. We are regulated and supervised as an Authorised Electronic Money Institution (AEMI) in the UK by the Financial Conduct Authority and in the Netherlands by De Nederlandsche Bank.
Our founding team has a wealth of experience in the payments industry and growing successful businesses. Modulr is backed by the venture arms of payments giants PayPal and FIS, as well as growth investors Blenheim Chalcot, General Atlantic, Frog Capital and Highland Europe.
Modulr now has over 400 employees spread globally across offices in London, Edinburgh, Amsterdam, and Mumbai.

Modulr values
•Building the extraordinary; going that extra mile.
•Owning the opportunity; be passionate and proud of the time you invest.
•Move at pace; reach goals faster whilst supported on your career journey.
•Achieve it together, working collaboratively and being a Modulite.

About the Role:
We are looking for a passionate Data Scientist with 2–3 years of experience to build ML/DL and Generative AI solutions for high-impact financial use cases.

Key Responsibilities:
• Develop ML/DL models for fraud detection, risk scoring, and personalization
• Build and deploy GenAI applications using LLMs
• Design and implement Agentic AI workflows
• Work with LangChain and LangGraph for orchestration
• Use tools like Claude, Cursor/CoPilot for AI-assisted development
• Implement monitoring using LangSmith
• Build APIs for model deployment
• Collaborate with cross-functional teams
• Maintain MLOps pipelines and CI/CD workflows

Key Requirements:
• 2–3 years experience in Data Science / ML / DL
• Strong Python skills
• Experience with ML frameworks (PyTorch, TensorFlow, XGBoost)
• Hands-on with GenAI, LLMs, prompt engineering
• Experience with LangChain, LangGraph
• Familiarity with Agentic AI concepts
• Exposure to tools like Claude, Cursor/CoPilot
• Experience with LangSmith for debugging/monitoring
• Knowledge of APIs, FastAPI/Flask, Docker
• Experience with MLOps tools (MLflow, DVC)
• FinTech domain experience preferred

ModInclusion 

We believe that by seeing Modulr, and the world, from all sorts of angles, we can make life better for all.​ We want you to know that the things that make you, you — like your identity, age, ability, and background — are things that we will always celebrate and support with open arms.  As such, we are keen to maximise the diversity of our workforce and actively encourage applications from anyone and everyone.

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

Cloud Platform Team at Druva drives the backbone of everything SaaS related. This team designs and develops features that cater to both Customer facing needs and internal stakeholders, playing a pivotal role in evolving Druva's architecture, as the company scales further. Key focus areas for the Platform Organization includes Druva Cloud Platform, Product-Led Growth (PLG), MSP Solutions, Ecosystem & Integrations, Licensing, Billing, and Revenue Systems. By tackling these critical domains, the team ensures Druva’s platform remains robust, scalable, and ready for the future.

About Role

We are seeking a highly skilled Senior Staff SDET who brings strong engineering fundamentals, deep automation capability, and a passion for quality in distributed, cloud-based systems. This role involves designing test strategies, improving automation frameworks, and working closely with developers to ensure the reliability and security of complex backup workflows.You will contribute across the full lifecycle - from feature design and white-box testing to deployment and validation in cloud environments.

Key Responsibilities

• Agile Collaboration: Work closely with the development team in an Agile environment to understand functional specifications and design requirements.
• Test Planning: Independently create comprehensive feature test plans aligned with development milestones and feature completion.
• Automation Frameworks: Leverage existing automation frameworks to automate feature tests and actively augment libraries to support new functionalities.
• End-to-End Ownership: Own the complete test execution cycle for user stories, ensuring high-quality delivery.
• Testing Strategy: Perform a mix of automated, manual, white-box, and black-box testing.
• Infrastructure Management: Create, maintain, and document testbed setups and environments.
• Quality Assurance: Timely reporting, tracking, and updating of issues and test cases using management tools.
• Cross-Functional Delivery: Collaborate with cross-functional teams to ensure quality benchmarks are met throughout the development lifecycle.

Must Have Skills:

Operating Systems & Core Concepts:

• Knowledge of working with Docker, Linux, Windows
• Good knowledge of networking and cloud architecture fundamentals, preferably with exposure to AWS and/or Azure services (networking, storage, compute).

Programming & Automation:

• Proficiency in Python or Java (Python preferred).
• Strong Shell scripting ability.
• Hands-on experience with SQL databases.

Testing skills & Tools:

• Strong experience in REST API testing and backend automation.
• Experience in UI automation (Selenium / Playwright preferred)
• Proficiency with tools like Git, Jira, XRay, Jenkins etc.
• Strong analytical and debugging skills.
• Exposure to Load and Performance testing and related tools

Desirable Skills  

• Understanding of CI/CD Pipelines.
• Experience testing workloads on AWS/Azure, including basic resource setup, debugging and monitoring (Cloudwatch etc).
• Exposure to generative AI using Cursor or similar tools. 

Qualification:

• B.Tech / B.E / M.E./ M.Tech or equivalent.

So, what’s the role all about?

As a Sales Enablement Manager, you’ll help ensure Cognigy’s partners are technically capable of building, demoing, and delivering high-quality AI Agents on the Cognigy platform. This role is focused on hands-on technical enablement. You’ll work closely with partner engineers, sales engineers, and internal teams to turn product knowledge into real-world solutions.

You’ll be a go-to technical resource for partners, helping them move from basic understanding to confident execution across sales cycles and customer implementations.

How will you make an impact?

• Enabling partners to design, build, and deliver AI Agents using the Cognigy platform
• Supporting partner onboarding and ongoing technical readiness through structured enablement and certification paths
• Delivering technical enablement sessions, workshops, and hands-on labs
• Assisting partners with JavaScript development, debugging, and flow-based logic
• Supporting API usage and integrations as part of AI Agent implementations
• Helping partners work effectively with context variables and conversation logic in Cognigy
• Advising on webchat embedding and xApps using HTML, CSS, and JavaScript
• Supporting partners during demos, proofs of concept, and key partner-led opportunities
• Collaborating with Sales Engineering, Product, and Professional Services to align on technical standards and best practices
• Translating product updates and new features into clear, partner-ready technical guidance

Have you got what it takes?

• Strong JavaScript coding and debugging skills, with the ability to support and unblock others
• Experience working with APIs and integrations in real-world implementations
• Practical experience using context variables and conversation logic within Cognigy
• Working knowledge of HTML, CSS, and JavaScript, particularly for webchat embedding and xApps
• A general developer mindset, with comfort solving problems through flow logic and/or code
• Experience in a technical, customer-facing role such as Sales Engineering, Pre-Sales, Solution Consulting, or Technical Consulting
• Ability to clearly explain technical concepts to both technical and non-technical audiences
• Strong collaboration and communication skills across sales, product, and delivery teams

Enablement-focused qualities:

• A genuine passion for enablement and helping partners succeed independently
• Enjoyment in teaching, coaching, and guiding others from basic understanding to confident execution
• Comfort delivering technical enablement sessions, workshops, and hands-on labs
• Ability to turn complex product capabilities into clear, practical guidance partners can apply immediately
• A proactive, problem-solving attitude with a strong sense of ownership when supporting partner success

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NICEr!

About Cognigy

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages.

Requisition ID: 10508
Reporting into: Head of Sales Enablement, NiCE-Cognigy
Role Type: Individual Contributor

So, what’s the role all about?

The Professional Services Engineer is a customer-facing, billable role responsible for delivering specialized expertise and solutions for NiCE products and services. This includes implementing, configuring, and optimizing products like Nice Engage , WFM , EEM and other CXone digital solutions, for enterprise contact centers. The position combines technical and business responsibilities, requiring engagement with clients to understand their needs, provide consultative support, and deliver cutting-edge solutions.

How will you make an impact?

• Technical Implementation:
• Installation and integration of NICE software solutions on site or remotely, while following defined methodology, processes, system requirements, and customer specific needs.
• Work directly with the implementation team to assist with any technical questions regarding the solution from kick-off of the project until handover of the delivered solution to our support center.
• Ensure that all components of the technical architecture are properly integrated and implemented.
• Communicate and reconcile any design flaws found during the delivery of NiCE Solutions.
• Assist customers and their vendors with configuration requirements for all NiCE Integration points in their environment.
• Provide technical expertise of the entire NiCE product suite, implementation methodology, and/or related technology.
• Conduct systems testing for performance and reliability.
• Report issues found during implementation and engage support teams for assistance, as well as escalating to higher tiers and management; as appropriate.
• Provide basic application overview, technical support, and technical quality control throughout all stages of the project.
• Communicate with R&D/product support about customer technical feedback on implementation of product related enhancements and fixes
• Project Management & Customer Handling:
• Collaborate with Project Managers to design and oversee end-to-end project rollouts.
• Document and add Lesson learned and Resolutions to the Nice Knowledge Base
• Ensure seamless project execution through inter-departmental coordination and clear communication.
• Regular interaction with client teams to understand pain points, present solutions, and align on progress
• Flexibility towards after-hours and weekend activities.
• Promote the use of AI tools to enhance decision-making and operational efficiency across business units.

Have you got what it takes?

• Bachelor’s degree in technical (e.g., Computer Science, Information Systems, Electrical Engineering) or business field (e.g., Marketing, MIS) or equivalent work experience.
• Total 8+ years and Minimum 3 years’ experience with Product implementation & integration.
• Experience with NiCE WFM ,Engage, CXone, RTA is a plus
• Experience with Advanced Solutions – Recording/Telephony Integrations, MDC , LDAP, SSO, ACD, DB migrations, Disaster Recovery or HA solutions.
• Familiarity with-
• Generative AI models, NLU techniques, and automation principles.
• Industry trends and emerging technologies in AI and digital customer engagement.
• Desired personal traits:
• Analytical and inquisitive mindset.
• Team-oriented with strong interpersonal skills.
• Early adopter of innovative technologies.
• Strong sense of accountability and ownership. 
• Professional communication, behavior and demeanor.
• Readiness to work in shift - APAC & EMEA
•  Server Technology-
• RED HAT Linux installation and Configuration
• Microsoft Windows Server Installation and Configuration – IIS
• Microsoft Security – Active Directory, Security Policies, Hardening, Encryption
• Server Hardware – HP, Dell, IBM
• Virtual Servers - VMWare – ESX, VSX Clusters, VMotion
• Citrix Servers – Configuration and Optimization
• Application Servers - J2EE, JBoss, Tomcat, Apache, Liferay, Mule
• SQL/Oracle-
• Microsoft SQL Server Installation and Configuration
• Oracle Installation / Configuration
• Maintenance – Backups and Recovery, Security
• Scripting – Basic Query and Update knowledge
• Networking-
• Network Principles – 7 Layer OSI Model, TCP, UDP
• Network Devices – NICs, Switches, Routers, MPLS
• Troubleshooting – Sniffers and various other Network Testing and Analysis tools
• Telephony-
• Telephony Experience - PBX, Switch and ACD Vendors - Avaya, Cisco, Genesys, Nortel, Aspect, Alcatel etc
• VoIP Experience – Avaya, Cisco, Nortel

You will have an advantage if you also have

• Red Hat Enterprise Linux or Microsoft certification.
• Previous experience with ACD/MIS platforms and interfaces.
• Experience working in a call center technology team.
• NICE Engage Certification preferred.
• CCNA and MCSE certifications preferred.
• AWS, Azure, HP, Dell, VMWare, and Citrix certifications are a plus

 What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr.

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID:  10245
Reporting into: Tech Manager
Role Type: Individual Contributor

AI Business Consultant - AI Center of Excellence | Pune, India (Global Coverage)

What's the Role All About? 

 The AI Business Consultant, is a pivotal role within our Customer Services Automation AI Center of Excellence. As NICE scales AI adoption across its global enterprise customer base, this role serves as a core execution and insight engine within the AI Center of Excellence. You will work across regions to ensure AI solutions move beyond deployment into trusted, sustained, and value-generating usage.

This role is designed for experienced consultants who want to operate at the intersection of AI, contact center operations, and measurable business outcomes, with real ownership over adoption success 

How Will You Make an Impact? 

• Drive AI Adoption and Stabilization
• Support AI adoption and post-deployment stabilization for a global portfolio of enterprise customers.
• Execute adoption playbooks in partnership with regional consultants across EMEA, APAC, and North America.
• Lead reinforcement activities that drive sustained usage, trust, and behavioral change.
• Optimize AI Performance
• Provide hands-on optimization of AI outputs, including prompt engineering, knowledge alignment, and workflow tuning.
• Support Behavioral UAT by validating user acceptance, workflow fit, and AI trust indicators.
• Identify early adoption risks and corrective actions using usage, operational, and behavioral data.
• Analyze and Operationalize Insights
• Analyze AI usage patterns, contact center KPIs, and operational signals to surface optimization opportunities.
• Build adoption scorecards and insight summaries used by customer-facing teams and internal leadership.
• Translate data into clear recommendations that improve efficiency, quality, and AI ROI.
• Partner and Lead Without Authority
• Partner closely with regional consultants, delivery teams, and operations leaders to drive aligned execution.
• Lead remote working sessions with supervisors and operations teams to reinforce best practices.
• Surface recurring adoption challenges and structured product feedback to internal teams. 
• Willingness to work in US shift (5 PM – 2 AM IST)

What makes this role compelling

• Global exposure across enterprise customers in multiple regions
• Deep hands-on experience with AI adoption, not just deployment
• Real ownership of outcomes, not just deliverables
• High visibility within a global AI Center of Excellence
• Clear path toward senior consulting, principal, or specialist AI roles

Have You Got What It Takes? 

• 4-8  years of experience in CCaaS consulting, CX operations, AI-enabled self-service, or related domains
• Strong understanding of contact center KPIs and operational workflows
• Hands-on experience with conversational AI, agent assist, summarization, or automation solutions
• Practical experience using prompt engineering to improve generative AI performance
• Strong analytical skills with comfort interpreting trends across large datasets
• Ability to work effectively across time zones with global stakeholders
• Experience supporting enterprise or global customers is strongly preferred
• Excellent verbal, written communication, and presentation skills are a must.
• Willingness to work in US shift (5 PM – 2 AM IST)

What’s in it for you? 

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! 

Enjoy NiCE-FLEX!  

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. 

Reporting to - Manager, Business Consulting

Req ID - 9980

Role Type - Individual Contributor

Your Impact on our Mission

Zocdoc’s most important asset is our people.  As an Integration Health Engineer, you’ll play a meaningful role in making sure Zocdoc's core technology and data flows are stable, performant, and reliable. You will be the proactive guardian of our system integrations, ensuring seamless connectivity between various applications and third-party services. Your expertise will be vital to maintaining the high availability of our systems, which is critical to Zocdoc's mission of delivering a better healthcare experience.  

Shift Timing: This is a night shift from 11:30 PM IST to 8:30 AM IST.

You’ll enjoy this role if you are…

• Personally motivated by solving complex, real-time technical puzzles.
• Autonomous, urgent, and creative. You genuinely love diagnosing system failures and searching for solutions that are complete, not just the obvious band-aid.
• Highly detail-oriented and meticulous about system reliability and performance.
• Passionate about maintaining the highest standards of data flow and system connectivity.
• A proactive problem-solver who anticipates and resolves issues before they impact the business.
• The kind of person who thrives on cross-functional collaboration with engineering and operations teams.
• Serious about your work, but not about yourself. Let’s face it - the way things are going, you kind of need a sense of humor.

 
Your day to day is…

• Full ownership of the continuous monitoring and health checks of system integrations.
• Troubleshooting and resolving real-time integration errors, API failures, and data flow disruptions.
• * Building and fostering relationships with Account, DevOps, and IT teams to coordinate fixes and improvements.
• Analyzing logs and alerts to determine the root cause of system failures and documenting resolutions.
• Optimizing existing integrations for efficiency and enhanced performance.
• Working with cutting edge GenAI tools and technology.

You’ll be successful in this role if you have…

• An unrelenting desire to build more equitable, inclusive and diverse workplaces.  You view this role as an opportunity to create positive change
• Meaningful (2+ years) experience in system integration health, API monitoring, and network troubleshooting
• *Required* The ability to integrate generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
• Proficiency in scripting/query languages like SQL, Python, PowerShell, or Bash for log analysis and automation.
• A compassionate but consultative, and confident approach when collaborating on technical issues with cross-functional teams.
• A fundamental understanding of API integrations, system operations, and incident management best practices.
• Integrated generative AI tools into daily workflows to automate tasks, foster innovation, and maximize productivity
• Experience with industry-standard monitoring tools such as Splunk, Datadog, or Prometheus.
• Superb communication skills! You believe in keeping all of your stakeholders in the loop and know that multiple mediums of communication are the key to success
• Humility.  You believe in treating all people with dignity and respect, regardless of title or tenure 

Benefits:

• An incredible team of smart and supportive people
• A competitive compensation package, including attractive medical insurance
• Amazing perks – think catered lunch every day, Ping Pong, etc.
• Daycare reimbursement
• The chance to create a better healthcare experience for millions of patients!
• Cellphone and wifi reimbursement
• Competitive parental leave
• Sabbatical leave (over 5 years)
• Annual sponsored health check-ups
• Zocdoc is certified as a Great Place to Work 2022-2026

Overview

We are looking for Senior Software Engineers based in Pune to join the engineering team to help with our ongoing growth and expansion! Your focus would be on building products using Javascript and Typescript and a core Object-Oriented Programming language like Java/C++/C#. We have a complete CI/CD software lifecycle and an evolving services-oriented architecture hosted in AWS. We require Senior Software Engineers with a strong focus on AI-Native development. Proficiency in utilizing various Agentic coding tools to significantly amplify impact and accelerate implementations is essential for this role.

As a Senior Software Engineer, you’ll help shape how students, educators, and institutions interact with our technology. Whether it’s building a seamless class discovery flow, improving accessibility and performance, or integrating AI into real-time classroom experiences, your work will directly impact how people learn every day. You’ll collaborate with Product, Design, and Engineering to create fast, elegant, and responsive interfaces that bring our innovations to life.

About Nerdy:

At Nerdy (NYSE: NRDY) -  the company behind Varsity Tutors - we’re redrawing the blueprint of learning. Our Live + AI™ platform fuses real-time human expertise with proprietary generative-AI systems, setting a new bar for measurable academic impact at global scale. We recruit the kind of technologists and operators you’d bet on as solo founders - people who turn ambiguous problems into shipping code, iterate faster than markets move, and compound their advantage with every data point. In an era where great employees can deliver 10-times the leverage of the merely good, we back those who play to win.

Fortune favors the bold. Join us.

How we compete:

• AI-Native at every level
  From the CEO to day-one hires, everyone builds and ships with generative AI. If you’re not wielding AI, you’re not done.

• Entrepreneurial velocity
  Move at founder speed, prototype in hours, and measure in real user outcomes. Slow teams die.

• Free-market rigor
  Ideas rise or fall on merit and results - no committees, no politics, no cap on upside.

• Full-stack ownership
  You design, build, and run what you ship; accountability is a feature, not a bug.

• Reward for contribution
  Pay rises with impact, not years. Outstanding results earn outsized rewards. We evaluate both what you achieve and howyou achieve it: living our leadership principles and using AI effectively are formally measured and rewarded.

• Relentless exploration
  Push the frontier of generative AI in live learning and - because only the paranoid survive - questioning every legacy assumption along the way.

• Is Apolitical
  You stay focused on mission-aligned outcomes, not distractions or unrelated causes.

If you’re a technically minded builder who thrives on open competition, personal responsibility, and the chance to redefine how the world learns - while continually stretching the limits of what generative AI can do - come do the most ambitious and rewarding work of your career here. Learn more at nerdy.com.

Nerdy’s shareholder letters below explain our latest products and strategy:

• Q4-2025 Shareholder Letter
• Q3-2025 Shareholder Letter
• Q2-2025 Shareholder Letter

Qualifications:

• Experience with Javascript and Typescript.
• Experience with a core Object-Oriented Programming language like Java/C++/C#
• Familiarity with backend services & technologies is a plus
• Experience with deployment systems (e.g. GitHub Actions, AWS CodeDeploy).
• Familiarity with AWS Services (e.g. RDS, Lambda, EC2, et cetera).
• Familiarity with the Linux operating system and command-line tools.
• Understanding of OO design, algorithms, and data structures.
• Aptitude to quickly learn new languages and technologies as necessary.
• Experience developing websites that are visited by thousands of visitors daily.
• Experience with enhancing SEO performance.
• Experienced with AI-native tools that enhance productivity and speed (e.g., Cursor, Make, Supabase, Netlify, Claude Code, n8n, Firecrawl, ChatGPT, Grok, Bolt, Vercel, etc).
• Understand and appreciate that Nerdy is an apolitical company and that we can have the largest impact if we are united in our focus on helping people learn and not divided or distracted by advancing unrelated causes.
• Computer Science or related degree preferred.
• Fluent in English.

Responsibilities:

• Write performant, maintainable code that is easy to read and well-documented.
• Write automated tests to thoroughly validate the correctness of your code.
• Deploy large-scale web applications.
• Have a focus on quality, and operate iteratively to get from good to better.
• Be a part of your team’s on-call rotation; we all own our code end-to-end from development to deployment to operations.
• Come ready to learn from some of the best and brightest in the industry.
• Work independently and collaboratively in a dynamic and fast-moving team.
• Be effective in a team environment working with fellow engineers, product management, and design.

Unlock Your Full Potential at Nerdy:

Join our worldwide team—work from home, get great pay, and help shape the future of learning. Here’s what you get:

• Competitive Compensation: Enjoy a market-leading rate.
• 100% Remote (Home Country Only): Work from anywhere in your home country—no relocation required, no borders crossed.
• Flexible Time Off: Our flexible PTO lets you recharge on your own terms and when you need it the most.
• Local Holiday Pay: We honor your nation’s official holidays with paid time off—celebrate what matters to you.
• Continuous Learning: Get a free, all-inclusive learning membership for you and your household—including 1-on-1 tutoring hours, unlimited on-demand classes, and access to our full suite of learning products and services.
• Supercharge with AI: Gain exclusive access to cutting-edge AI tools that boost your productivity, making you feel almost super-human (cape not included).

The Bottom Line:

If you're driven by impact, energized by ownership, and excited to help shape what’s next, you’ll thrive here. We move fast, think big, and reward those who deliver. This isn’t a traditional corporate environment - it’s a place to do the most meaningful work of your career.

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

MAKE AN IMPACT

Job Details

Lead AI Engineer

Location: Pune (Hybrid)

Role Purpose Design and deliver AI/ML and Generative AI solutions that enhance client intelligence, automation, and decision-making across Private Banking platforms, leveraging data sourced from core banking systems (e.g. Avaloq), CRM, and digital channels.

Key Responsibilities

• Develop and deploy AI/ML and GenAI models (e.g. NLP, summarization, recommendation engines)
• Build scalable data pipelines and feature engineering workflows using structured and unstructured data
• Integrate AI capabilities into enterprise platforms via APIs and microservices.
• Work with data originating from core banking platforms (e.g. Avaloq) including client, portfolio, and transaction data.
• Enable AI-driven use cases such as client insights, next-best-action, and automation of RM workflows.
• Implement model monitoring, governance, and performance optimization aligned to enterprise standards.
• Collaborate with engineering and business teams to translate wealth use cases into scalable solutions.
• Experience working with wealth management data (clients, portfolios, transactions)
• Understanding of data flows from core banking systems such as Avaloq
• Awareness of AI governance, model risk, and regulatory considerations in banking

Skills & Experience

Primary:

• Python (mandatory) • ML/DL frameworks (TensorFlow, PyTorch, Scikit-learn) • GenAI / LLM frameworks (LangChain, OpenAI, etc.) • AWS (S3, Lambda, SageMaker, Bedrock)

Secondary: • Data engineering (ETL pipelines, feature stores) • API development • Vector databases / embeddings

About Anchanto:

Enabling Simpler, Faster and Scalable eCommerce Operations, Our mission is to simplify backend eCommerce operations for businesses of all sizes through our innovative & intelligent SaaS platforms. We aim to transform the way businesses conduct eCommerce in the region, while aggressively moving towards becoming the most customer-centric company in our domain.

Our offices are spread across Singapore, Kuala Lumpur (Malaysia), Jakarta (Indonesia), Manila (Philippines), Sydney (Australia), Bangkok (Thailand), Seoul (South Korea), Pune (India). Our diverse and multicultural fabric is woven in a way that each Anchanter gets complete freedom and opportunity to realize & explore his/her full potential.

We pride ourselves in building awesome & powerful products that have the potential to change the way businesses perceive eCommerce management. We believe in delivering anchanting experiences and aim to become the #1 customer-centric company in our domain.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products

worldwide.

Who you are:

TraceLink is looking for talented full-time software engineers to build products at one of the fastest growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities :

The Software Development Engineer in Test assists in building and executing automated tests for

the Company's software products. The SDET will build testing tools to enable automated testing of

the TraceLink platform and application.

• Execute tests on the TraceLink platform and application.

• Extend and maintain automation frameworks.

• Prepare and present clear reports on defect findings that allow developers to quickly and accurately reproduce problems and allow the Quality Engineering team to verify that fixes are complete.

• Verify defect fixes.

• Build tooling for automated testing of the TraceLink platform and application.

• Programmatically interface testing tools with the TraceLink platform and application.

• Create testing tools that can be configured and used by non-developers and can simulate real-world transaction volumes involving potentially millions of transactions per day.

• Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems

• Research and remain informed of new technology and tools, and how such technologies could be applied at TraceLink.

•  Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

Qualifications :

Candidates must possess the following skills and traits:

• Bachelor's degree or foreign equivalent in computer science, software engineering, or related discipline.

• 2-5 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• 2-5 years of experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• 2-5 years of experience developing against web services and Web-based APIs.

• 2-5 years of experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas

• 2-5 years of experience testing web-based enterprise-class business applications.Helpful skills and experience:

Helpful skills and experience:

•  Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.

•  Experience with the pharmaceutical industry.

•  Basic understanding of Large Language Models (LLMs) and generative AI systems.

•  Exposure to testing LLM-based applications, including prompt validation and response evaluation.

•  Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).

•  Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.

•  Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).

•  Exposure to automation frameworks or tools for validating AI/ML model behavior.

About Tracelink:

Digital information sharing is the future of medicine. TraceLink is building the first-ever cloud-based network and application platform that helps our global customers share crucial business information while collaborating on manufacturing and distributing billions of medical products worldwide.

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing companies in the Pune area. If you’re self-motivated, intellectually curious, and motivated by designing and developing innovative products for global organizations, you could be a good fit for our team

Who you are:

Tracelink is looking for talented full-time software engineers to build products at one of the fastest-growing

companies in the Pune area. If you’re self-motivated, intellectually curious and motivated by designing and

developing innovative products for global organizations, you could be a good fit for our team.

This is an excellent opportunity to learn and/or extend your knowledge in building large-scale multi-agent systems, define effective strategies for evaluating such systems, and gain hands-on experience in creating and testing non-deterministic software components.

Responsibilities:

The Software Development Engineer in Test assists in building and executing automated tests for the Company's

software products. The SDET will build testing tools to enable automated testing of the TraceLink platform

and application.

• Build and execute tests on the Tracelink platform and application.

• Build and deploy services for automated testing of the Tracelink platform persistent store.

• Execute performance tests on a Distributed Persistent Data store

• Create testing tools that can simulate real-world transaction volumes.

• Provide high-level analysis to apply appropriate technologies and architecture to solve conceptual problems

• Stay curious, build Innovative solution to new age technical issues

• Influence designs and decision with supporting data

• Work closely with engineers building the core Tracelink product to ensure that testability concerns are factored into the design of the product.

• Extend and maintain automation frameworks to enhance Test coverage

• Prepare and present clear reports on defect findings that allow developers to reproduce problems and allow the Quality Engineering team to verify that fixes are complete quickly and accurately.

• Programmatically interface testing tools with the TraceLink platform and application.

• Work closely with engineers building the core TraceLink product to ensure that testability concerns are factored into the design of the product.

• Research and remain informed of new technology and tools, and how such technologies could be applied at Tracelink.

Qualifications:

Candidates must possess the following skills and traits:

• Bachelor's degree or foreign equivalent in computer science, software engineering, mechanical engineering, or related discipline.

• 5-8 years of progressive, post-baccalaureate experience in a test automation engineering role involving programmatic interaction with a system under test.

• Experience utilizing Java, JavaScript/TypeScript, Eclipse, Ant or Maven, Unix, and an automated unit test framework, such as TestNG.

• Experience developing against web services and Web-based APIs.

• Experience developing and executing formal test plans, data sets, and test configurations for assigned feature areas.

Helpful skills and experience:

• Familiarity with the concepts involved in running cloud-based applications on platforms such as Amazon Web Services.

•  Experience with the pharmaceutical industry.

•  Basic understanding of Large Language Models (LLMs) and generative AI systems.

•  Exposure to testing LLM-based applications, including prompt validation and response evaluation.

•  Familiarity with multi-agent LLM workflows and coordination patterns (e.g., agent orchestration, tool usage, chaining).

•  Experience designing test scenarios for AI systems, including edge cases, hallucination detection, and output consistency checks.

•  Knowledge of evaluation metrics for LLM outputs (e.g., accuracy, relevance, latency, and robustness).

•  Exposure to automation frameworks or tools for validating AI/ML model behavior.

About Druva 

You won’t just join a company at Druva, you’ll help shape the future of data security at the moment it matters most. We are building a modern standard with our cloud-native solutions, designed to simplify the toughest challenges in cyber resilience for our customers. As the pioneer and market leader in fully managed SaaS data protection, we help organizations secure and recover their data from ransomware, cyberattacks, and operational disruptions without the complexity, cost, or risk of legacy infrastructure.

Our momentum is backed by the market: Druva was named a Leader in the 2025 Gartner® Magic Quadrant™ for Backup and Data Protection Platforms, a Leader in the 2025 IDC MarketScape for Cyber-Recovery, and a Leader & Outperformer in the 2025 GigaOm Cloud Data Protection Radar. Even better, customers validate that leadership every day through strong Gartner Peer Insights ratings, standout Net Promoter Scores (NPS), and top willingness-to-recommend results.

Visit druva.com and follow us on LinkedIn, X and Facebook.

The Foundation team at Druva is responsible for designing a highly performant and scalable cloud file system on the Druva cloud in AWS.  This file system is used to back up billions of files per day, translating to millions of metadata requests per second across regions. To build this petabyte-scale, distributed, services-oriented cloud file system, various key concepts like file system metadata, versioning, and eventual consistency are used along with leveraging various AWS services like S3, DDB, and Kinesis. A purpose-built key-value store is used for managing these metadata requests.  While the core file storage engine provides the backup storage for all the Druva products, allied components like the indexing engine, key-value store, and big data pipeline provide scalable search, analytics, and compliance services. The team diligently keeps track of newer services, storage tiers, and various aspects of existing AWS services to take advantage of the continuous evolution of services and use them effectively in the background.

As a Sr. Software Engineer in the filesystem team, you will be providing technical ownership to create high-quality software by owning the design and implementation of features within the filesystem. This role will require excellent communication skills as you will collaborate with architects and other senior engineers to refine requirements, and other product owners to drive features to completion with good quality. 

Some of the key areas the team is working on 

• Improving resiliency of the filesystem with periodic incremental consistency checks, both for petabytes of metadata and hundreds of petabytes of data residing in the cloud.  Metadata versioning and change tracking.
• Third-party secondary storage appliance integration for data centre data protection.
• Extend the filesystem to store a variety of workloads beyond files/folders, e.g., emails and messages
• Optimise the filesystem for cost using  strategies and algorithms to reduce cloud cost  (eg. leveraging cheaper cloud storage tiers and reducing IO requests)
• Develop tools that help debug production issues more efficiently

Key Skill

• 6+ years of experience, preferably in a product company with exposure to storage architectures.
• Strong demonstrable experience in systems programming, especially in multithreading, synchronization, fault tolerance and data consistency at scale.
• Hands-on experience in the design and development of complex products. 
• Extensive hands-on experience in Go/Python/C/C++/Java on Unix/Linux platforms.

A strong understanding of complex concepts related to computer architecture, data structures, algorithms, design concepts, and programming practices.

• Experience in working with SoA (Service-oriented Architecture), especially in the service’s backend. 

 Desirable Skills:

• Excellent written and verbal communication skills
• Experience in Cloud Technologies (preferably AWS) will be advantageous
• Working knowledge of Docker and Kubernetes will be an advantage
• Working knowledge of storage and file systems, including file system consistency checks.
• Hands-on experience using generative AI for codegen

Role and Responsibilities:

• The Sr. Software Engineer's role is to be the technical owner in building enterprise-grade, scalable, performant systems which deliver the required functionality 
• Should be able to design and implement sufficiently large and complex features and/or architectural improvements to the product.
• Suggest and propose solutions to complex design problems.
• Identify areas of engineering improvements to the product and work with product architects and the team to address them.
• Should be able to technically guide junior engineers with feature design and implementation.
• Review the design and implementation done by junior engineers.
• Should be able to independently handle complex escalations and guide others as required.
• Be able to write technical blogs and make technical presentations in internal and external forums

Qualification

• B.Tech / B.E / M.E./ M.Tech (Computer Science) or equivalent

About the Role

We are looking for an early-career Agentic AI Engineer to help build and evolve AI-powered systems that automate and improve supply chain workflows. In this role, you’ll work alongside experienced engineers and data scientists to develop agentic AI / GenAI features, integrate knowledge-based retrieval (RAG) patterns, and contribute to testing and validation approaches for AI systems that can behave in non-deterministic ways.

This is a strong opportunity for someone who is eager to grow in both software engineering and applied GenAI, and wants to work on real-world enterprise problems in supply chain and (optionally) life sciences.

Key Responsibilities

• Support the design and implementation of agentic AI / GenAI systems that assist in automating supply chain workflows.

• Build and maintain backend services and integrations using Python and/or Java.

• Contribute to multi-agent workflows, such as tool execution, routing, agent collaboration patterns, and task orchestration.

• Assist in creating testing and validation strategies for AI systems, including evaluation datasets, regression testing, and behavior monitoring.

• Help implement and improve knowledge base systems, including RAG pipelines, grounding strategies, and retrieval quality improvements.

• Contribute to experimentation with:

  • lightweight fine-tuning approaches for small language models (SLMs)

  • reinforcement-learning-inspired improvement loops for NLP/GenAI tasks (where applicable)

• Partner with product and domain teams to understand supply chain needs and translate them into working software.

• Participate in code reviews, documentation, and operational support to ensure high-quality production systems.

Required Qualifications

• Master’s/Bachelors degree in Data Science, Artificial Intelligence, Machine Learning, Computer Science, or a closely related discipline.

• 0–2 years of professional experience in software engineering, AI engineering, or ML engineering (internships and co-ops count) OR equivalent experience

• Strong programming skills in Python and/or Java, including writing production-quality code.

• Familiarity with cloud platforms such as AWS, GCP, or Azure (academic, personal, or internship experience is acceptable).

• Interest or exposure to Generative AI concepts, such as LLMs, agent workflows, tool calling, or multi-step reasoning.

• Understanding of core engineering fundamentals:

  • APIs and services

  • basic distributed systems concepts

  • debugging and performance basics

  • data structures & algorithms

• Ability to learn quickly, take feedback well, and collaborate effectively in a team environment.

Preferred Qualifications

• Coursework, projects, or hands-on experience with agentic or multi-step AI systems, including non-deterministic behavior patterns.

• Exposure to designing knowledge base solutions, such as:

  • Retrieval-Augmented Generation (RAG)

  • embedding-based search

  • hybrid search approaches

  • reranking or relevance evaluation

• Experience or academic background in one of the following:

  • fine-tuning small language models (SLMs)

  • training or adapting NLP models

  • Reinforcement learning concepts applied to language systems

• Exposure to event-driven or reactive systems

• Interest in supply chain domains (logistics, manufacturing, procurement, etc.).

• Knowledge of the life sciences supply chain is a plus, but not required.

What Success Looks Like

• You can take a defined task (e.g., building a new RAG retriever, improving evaluation coverage, or implementing a new agent tool) and deliver a working solution with support from senior engineers.

• You write clean, testable code and steadily improve your ability to debug real-world production issues.

• You contribute to AI system reliability through experiments, evaluation improvements, and thoughtful engineering.

Who You Are

• Curious, motivated, and excited to build AI-driven products that ship to real users.

• Comfortable working with a mix of predictable engineering tasks and emerging AI workflows.

• Strong team player with a growth mindset and a willingness to learn.

About Us

Blueshift is the Intelligent Customer Engagement Platform (CEP), headquartered in San Francisco, that empowers leading B2C brands to drive truly personalized, 1:1 marketing across every channel. Founded by repeat entrepreneurs who previously built Mertado (acquired by Groupon) and were part of the early team at Kosmix (acquired by Walmart), Blueshift leverages AI, including Predictive, Generative, and Agentic AI, to automate customer engagement for clients like ClearScore, LendingTree, Udacity, and U.S. News. Backed by top-tier VCs including Nexus Venture Partners, Storm Ventures, and SoftBank Venture Asia, the company has raised a total of $65 million in venture funding and is consistently recognized as a market leader and a Deloitte Technology Fast 500 award recipient.

Blueshift is actively scaling its development center in Pune, India. As part of our team, you will drive innovation in cutting-edge technologies including machine learning, artificial intelligence, big data, and large-scale distributed data systems. This is an exciting career path for motivated individuals looking to build complex, impactful solutions that define the future of customer engagement.

AI Solutions Engineer II

As a Software Engineer in the AI Solutions team, you occupy a unique techno-functional position. You are not a researcher; you are an implementation specialist and problem-solver. You bridge the gap between our core AI infrastructure and real-world customer impact. You aren't just writing code; you are applying data engineering, analysis, and AI knowledge to help global brands realize the full potential of AI-driven marketing.

Responsibilities 

• End-to-End Solution Delivery: Lead the full lifecycle of custom AI projects—from initial customer design and technical architecture to testing and production implementation.
• Production Stewardship: Take ownership of the "last mile" of delivery. This includes triaging technical tickets, analyzing logs (Datadog/Kibana), and debugging production issues in customer-specific AI workflows.
• Applied Data Engineering: Use SQL, Python, and Spark to transform disparate, messy customer datasets into clean, high-performing inputs for our AI engine.
• Stakeholder Collaboration: Partner directly with customer marketing teams and internal Product Managers to explain technical logic and ensure AI solutions meet business objectives.
• Cross-Functional Collaboration: Partner with the other teams across Blueshift to optimize data pipelines and debug distributed systems.
• Agentic Productivity: Integrate AI agents (like GitHub Copilot or custom internal agents) into the development lifecycle to accelerate code generation, testing, and debugging.
• Innovation & POCs: Develop Proof of Concepts (POCs) for AI experiments, benchmarking results to simplify and automate customer marketing ideas.

Requirements

• Software Engineering Fundamentals: 4+ years of experience in a production environment. Strong grasp of Object-Oriented Programming (OOP), Git, and the full SDLC.
• The "Polyglot" Mindset: Expert-level SQL and Python are mandatory. You must have the agility to work in Ruby and Scala/PySpark as the solution requires.
• Production Grit: Proven experience in a ticket-solving environment. You are comfortable navigating existing codebases to identify bugs, perform root-cause analysis, and deploy stable fixes.
• Analytical Mindset: You are a "Data Analyst with an Engineering heart." You enjoy digging into data tables to understand why a recommendation was made and how to optimize it.
• Customer Centricity: Experience working directly with customers or marketing teams. You can communicate technical concepts to non-technical stakeholders and manage project timelines independently.
• Experience Plus: Direct experience with Recommender Systems.

Nice to Have

• Direct experience with AWS Data Platforms, Jenkins, and Docker.
• Background in the MarTech or AdTech industry.

Perks and Benefits

• Competitive salary along with stock option grants.
• Excellent hospitalisation, personal accident, and term insurance coverage.
• Located in a top-notch facility in Baner - one of the best neighbourhoods for tech startups.
• Daily catered breakfast, lunch, and snacks along with well-stocked pantry
• A team that cares about you.

About the Role:
As a Senior AI Engineer, you will help architect, build and implement our AI platforms, working closely with data quality engineers, data/software engineers, platform engineers, DevOps, product owners and business.  You provide technical leadership for multiple, diverse, and geographically distributed teams. You will coach and guide teams to enable future success. Also be a partner with engineering managers, directors and VP on strategic initiatives and future business growth opportunities especially around AI and ensuring the engineering organization can scale to meet the need.

As a member of the engineering team, you are responsible for coaching, mentoring, and driving change to enable us to better deliver and innovate in an agile environment.

Your day to day:

• Help shape the direction of our applied AI areas and intelligence features in our products. Drive the deployment of state-of-the-art AI models and systems that directly impacts on the capabilities and performance of Abacus’s products and services (e.g., Abacus Agents, MCP, SQL and RAG agents and tools, etc.)
• Develop novel data collection, fine-tuning, and LLM technologies that achieve optimal performance on specific tasks and domains
• Design and implement ML/AI pipelines for data preprocessing, feature engineering, model training, hyperparameter tuning, and model evaluation, enabling rapid experimentation, iteration and self-healing
• Work closely with cross-functional teams, including AI engineers, data engineers, and product teams, to deliver impactful AI solutions that enhance user productivity and satisfaction
• Build scalable, reusable backend systems to support GenAI products across the company. Develop robust logging, telemetry, and evaluation harnesses to ensure reliable model and GenAI system performance
• Skillful at driving critical projects (e.g. AI and data engineering Innovation, Development Productivity and Benchmarking)
• Meaningful experience in the world of Data and AI
• Capable of credible customer interactions
• Mentoring development team members to ensure delivered solutions adhere to the software architecture strategy, coding standards, and established organizational policies and procedures
• Participating in software architectural discussions, influencing decisions, and collaborating with peers to maintain consistency across the organization
• Identifying people and process improvement strategies for the Agile/Scrum team(s), especially for AI projects/teams where innovation and iteration are critical
• Communicate organizational updates to ensure teams adhere to the established policies and procedures
• Ensure projects are completed on time and according to our quality standards
• Facilitates communication upward around architecture, design, and implementation objectives
• Proven experience in leading software development teams or projects
• Excellent knowledge of software development design, QA and test automation, and experience with agile development methodologies
• Demonstrated knowledge of Cloud Architecture, AI Architecture, Agents/Agentic systems, Massive Parallel Processing (MPP) compute frameworks for Data+AI platforms, Security, and MCP/API based services
• Good understanding of Incident Management, Configuration Management, Operational efficiency and Customer Escalation Management preferred. Can manage the balance of deliveries on our roadmap commitments while dealing with interruptions and client escalations
• Good experience with open source
• Coach and mentor software and AI developers, develop staff skills, provide continuous feedback 
• Has relentlessly high standards (is never satisfied with the status quo)
• Responsible for protecting, securing, and proper handling of all confidential data held by Abacus to ensure against unauthorized access, improper transmission, and/or unapproved disclosure of information that could result in harm to Abacus or our clients.

What you bring to the team:

• Minimum of 3 years of ML/AI engineering experience in high-velocity, high-growth companies. Alternatively, a strong background in relevant ML/AI research in academia will be considered as contributing qualification
• Minimum of 3 years of experience as a software developer at some point in career
• Minimum of 2 years of experience with Databricks, Mosaic AI Gateway and associated technologies in Databricks stack related to Data and AI engineering
• Strong track record of working with language modeling technologies and GenAI. This could include the following: Developing generative and embedding techniques, modern model architectures, fine tuning / pre-training datasets, evaluation benchmarks, Agents and Agentic workflows (e.g. orchestration, workflow management, observability, debugging), RAG, SQL Agents, MCP, etc.
• Proficiency in Python, TensorFlow/PyTorch, and scalable ML/AI architecture
• Ability to drive end-to-end model and system development, from research and prototyping to deployment and monitoring
• Strong analytical and problem-solving skills, with a passion for improving AI-driven user experiences
• Strong coding and software engineering skills, and familiarity with software engineering principles around testing, code reviews and deployment
• Experience and good understanding of designing scalable, distributed systems for running small to medium scale data processing applications and services (10s – 100s of TBs of data)
• Possesses a level of breadth and depth of software and AI development experience that allows for influence and competence in technical discussions with internal and external stakeholders
• Solid understanding of roles adjacent to the software development (product management, project management, client delivery, operations etc.). Ability to adapt to these roles as defined at Abacus and work with others in these roles
• Proven record of success of driving and/or leading engineering teams/projects towards developing production grade systems supporting customers
• Nice to have experience with, but not required: Snowflake, FHIR, Healthcare Data exposure

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Job Title: GenAI Developer/ Engineer

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

Location - Bangalore

Experience - 6 to 10

Skills and Qualifications:

Preferred skills:

Programming: Advanced Python (async programming, OOP, REST APIs, FastAPI, Flask, Pandas, NumPy)

GenAI Frameworks: LangChain, LlamaIndex, Haystack, Semantic Kernel

Machine Learning and AI: Snowflake Cortex, TensorFlow, PyTorch

Key Responsibilities:

• Develop scalable Python applications focused on GenAI
• Knowledge of Snowflake Cortex is a big plus.
• Learn and apply techniques like document chunking and embeddings
• Proficient in both SQL (e.g., PostgreSQL, MySQL) and NoSQL (e.g., MongoDB, Cassandra) databases, including schema design and optimization.
• Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
• Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
• Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
• Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
• Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
• Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
• Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
• Design and implement scalable RESTful APIs and microservices to expose AI functionalities
• Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
• Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
• Follow coding best practices and contribute to testing and documentation
• Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
• Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
• Communicate effectively with both technical and non-technical team members, ensuring alignment and understanding across all project phases.

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

LEA Product Manager

Role Summary

We are looking for a hands-on product manager that will be responsible for the GenAI visualisation and conversational analytics frontend capability. As part of this role, you will be working closely with the Associate Director- Visualisation to help shape and materialise the overall vision, strategy and the roadmap for the capability.

You'll be responsible for bridging GenAI for BI, building and scaling GenAI visualisation products, owning the governance railway for the capability and ensuring the delivery of trusted, explainable conversational analytics for the business aligned with common enterprise data standards.
 

Key Responsibilities

• Help define and execute the product roadmap for GenAI visualisation and conversational analytics, balancing long-term vision with immediate business priorities.
• Lead the end-to-end development and integration of GenAI visualisation products and workflows by partnering closely with the business.
• Leverage analytics to monitor user adoption, engagement and AI performance, driving actionable insights and results.
• Help define the standards and the operating model for semantic models, control retrieval strategies and change management controls.
• Work closely with the engineering team to improve the overall performance of the GenAI visualisation offering, actively and iteratively.

• Enable and embed the GenAI visualisation governance strategy and the guardrails required for the safe and responsible use of AI across the organization.
• Partner with key stakeholders to ensure the GenAI visualisation capability is compliant with relevant organizational controls.

• Build relevant product documentation, end-user adoption of playbooks, and journeys.

Required Skill & Experience

To be successful in this role, you’ll need to demonstrate proven experience in building and scaling enterprise GenAI data products (front-end) and have a deep understanding of both open source and paid visualisation technologies such as Looker, Qlik, Tableau etc.

• 5-8 years in product management or consulting within financial services
• Analytical mindset with strong communication and problem-solving skills
• Demonstrated success shipping AI, data or machine learning products
• Ability to translate user needs and GenAI capabilities into clear technical specifications
• Deep understanding of analytics tools (Looker, Qlik, Tableau, Power-BI, etc)
• Proven ability to drive cross-functional alignment across product, engineering and client teams to deliver measurable business outcomes
• Solid understanding of modern AI technologies (e.g. generative models, conversational systems, embeddings, agentic workflows) from a product perspective

About the Role 
As a Senior Software Engineer - Generative AI at Energy Exemplar, you will play a key role in architecting and scaling AI-powered product capabilities across Energy Exemplar’s simulation and planning platforms. 
This role goes beyond feature delivery and includes designing reusable Agentic AI platforms, enabling multiple product teams to safely and consistently build AI agents aligned with energy-market domain requirements. 

Responsibilities 

• Architect, design and implement end-to-end Generative AI systems, including advanced RAG, and Agentic AI workflows, and multi-modal orchestration across Energy Exemplar products. 

• Design and build Agentic AI platforms that support creation, orchestration, monitoring, evaluation, and governance of AI agents across multiple use cases and teams. 

• Define domain-aware RAG architectures, enabling AI agents to reason over energy market rules, model inputs, constraints, and simulation outputs. 

• Lead development of production-grade AI services using Python and/or .Net/Java, ensuring high reliability and performance for enterprise customers. 

• Design AI data pipelines leveraging Azure OpenAI, Azure AI Foundry, Azure AI Search, and Azure Storage (preferred) or equivalent services. 

• Establish standards for prompt management, agent memory, tool invocation, evaluation metrics, observability, and cost control. 

• Collaborate with product managers, energy domain experts, and cloud teams to align AI solutions with real customer workflows. 

• Mentor and guide engineers on AI, backend, and full-stack design best practices. 

• Ensure AI solutions comply with security, compliance, and responsible AI requirements relevant to critical infrastructure software. 

• Influence technical roadmap decisions related to AI platforms and capabilities. 

• Stay current with advancements in Agentic AI, Azure AI services, and enterprise AI architecture patterns. 

 Qualifications, Skills & Experience 

• 5–10 years of professional software engineering experience with strong expertise in Python and/or .Net/ Java. 

• Proven experience delivering production Generative AI solutions, including RAG implementations, at scale. 

• Demonstrated ability to design and build Agentic AI agents & platforms 

• Deep understanding of LLMs, agent orchestration patterns, vector search, prompt optimization, memory strategies, and evaluation frameworks. 

• Hands-on experience with cloud-native architecture (preferably Azure), containers, and orchestration platforms. 

• Solid background in distributed systems, api-driven architectures, and product-scale platform design 

• Experience leading technical design discussions and mentoring engineers. 

• Strong debugging, performance tuning, and problem-solving skills. 

• Excellent communication skills, capable of influencing both technical and non-technical stakeholders. 

• Ability to balance innovation with engineering rigor and long-term maintainability.