Title: Senior Technical Delivery Manager – Data Platform & Products

We are seeking a Senior Technical Delivery Manager to lead the end-to-end delivery of the data platform and its data products, ensuring delivery is structured, predictable, and aligned across multiple teams and dependencies.

This role is responsible for driving execution, managing dependencies and risks, and ensuring that delivery progresses against agreed scope and timelines.

Role Purpose

• Ensure successful delivery of the data platform and initial data products
• Bring structure, discipline, and predictability to delivery
• Act as the central point for coordination across squads, stakeholders, and dependencies

🔧 Key Responsibilities

Delivery Leadership

• Own and drive:
• Delivery plans
• Milestones
• Execution tracking
• Ensure delivery progresses against baselined scope
• Maintain clear visibility of:
• Status
• Risks
• Dependencies

RAID Management (Critical)

• Establish and maintain a robust RAID log
• Ensure:
• Risks are identified early
• Assumptions are documented
• Dependencies are actively managed
• Work closely with Product Manager and Leads to ensure:
• Open questions are translated into RAID items
• Nothing remains as untracked discussion

Dependency Management

• Manage cross-team dependencies, including:
• Data Governance (e.g. sample data requests)
• Source system teams
• EQCR product team
• Ensure dependencies are:
• Clearly defined
• Owned
• Tracked to resolution

Scope & Change Control

• Protect the baseline scope
• Ensure:
• Scope changes are controlled and agreed
• Enhancements are captured for future phases
• Prevent uncontrolled scope expansion during delivery

Stakeholder Management

• Coordinate with:
• Data Lead
• Product Manager
• Product Owner
• Engineering teams
• External teams (EQCR, DG, etc.)
• Provide clear, structured updates to stakeholders

Delivery Governance

• Run:
• Delivery forums
• Stand-ups / syncs (where appropriate)
• Ensure:
• Alignment across squads
• Decisions are documented
• Actions are tracked

Key Deliverables

• Delivery plan and roadmap
• RAID log (actively managed)
• Fortnightly delivery updates
• Dependency tracking
• Status reporting

This is where this role becomes powerful 👇

• Ensures delivery moves forward despite uncertainty, rather than waiting for perfect conditions
• Prevents delivery from being delayed due to:
• upstream data issues
• expanding requirements
• Drives clarity:
• no open-ended discussions without outcome
• Works with Product and Tech team members to ensure:
• discussions convert into trackable delivery items (RAID / backlog)

Key Interfaces

• Data Lead → overall direction and escalation
• Data Product Manager → requirements and scope
• Senior Product Owner → backlog and sequencing
• Data Engineering → execution
• Data Governance → data access, DQ processes
• External product teams (EQCR) → consumer alignment

Experience Required

• years overall in delivery / programme management
• 5+ years’ experience delivering:
• data platforms, or
• complex technology programmes
• Experience managing:
• cross-team dependencies
• regulated environments
• Strong RAID and stakeholder management experience

What Good Looks Like in This Role

• Delivery is predictable and transparent
• Risks are known early, not discovered late
• Scope is controlled
• Teams are aligned and not working in silos

• Stakeholders feel: “We know what’s happening and when”

Important Dynamic

This role should:

👉 Challenge the Product Manager on:

• vague requirements
• open-ended discussions

👉 BUT NOT:

• redefine product scope
• go into product decisions

👉 And should work very closely with:

• Senior Product Owner (for execution)
• Data Lead (for escalation + direction)

Job Overview:

We are seeking a Senior AI Solution Architect with deep expertise in Artificial Intelligence (AI) and Generative AI (GenAI) to drive solution design, pre-sales engagements, and client delivery. The ideal candidate combines technical excellence with strong business acumen, enabling them to design innovative solutions, craft compelling sales collateral, and confidently engage with executive stakeholders. This role requires proven experience leading teams, shaping solution strategy, and responding to complex RFPs in enterprise environments

Key Responsibilities:

• Lead RFP/RFI responses with strong technical and business narratives.
• Design solution proposals, demos, and workshops with sales teams.
• Build sales assets such as whitepapers, PoV decks, and blueprints.
• Engage C-suite leaders to evangelize AI/GenAI solutions.
• Define end-to-end AI/GenAI architectures (RAG, multi-agent, pipelines, governance, observability).
• Translate business needs into scalable, secure, and compliant AI solutions.
• Ensure smooth design-to-delivery with engineering teams.
• Establish frameworks for AI governance and responsible AI.
• Mentor architects, data scientists, and engineers.
• Drive knowledge sharing through playbooks, accelerators, and best practices.
• Collaborate with cloud, data, security, and domain SMEs for integrated solutions.

Key Skills

• 10+ years of experience in solution architecture, AI/ML, or data platforms, with at least 3–5 years in AI/GenAI initiatives.
• Demonstrated pre-sales experience: RFP responses, PoVs, workshops, and deal support.
• Strong portfolio of sales/marketing assets (whitepapers, solution blueprints, reference architectures).
• Hands-on expertise with AI/GenAI stacks (e.g., LangChain/LangGraph, CrewAI, OpenAI, Anthropic, Azure AI, AWS Bedrock, Databricks).
• Understanding of AI governance and compliance frameworks (EU AI Act, NIST AI RMF, ISO 42001, Microsoft RAI Maturity Model).
• Proven team leadership experience, including mentoring and managing architects/engineers.
• Excellent communication, presentation, and client-facing skills.

Summary: The Dynatrace Observability Lead/Architect is responsible for defining and driving the end-to-end observability strategy, architecture, integration, and implementation. This role ensures alignment with SRE and DevOps practices, enables AIOps capabilities, and leads the onboarding, optimization, and continuous improvement of observability across the organization.

Responsibilities:

• Define observability strategy, standards, and architecture (metrics, logs, traces, APM)
• Establish SLIs, SLOs, error budgets, and observability readiness standards
• Define tagging, metadata, and telemetry standards (naming, formats, traceability)
• Design integration architecture across CI/CD, observability, and ITSM platforms
• Define and enforce governance model, compliance, and audit requirements
• Establish KPIs and success metrics aligned with business and reliability goals
• Consolidate findings from assessments and identify risks and improvement areas
• Develop observability maturity assessment (DevOps/SRE alignment)
• Define implementation roadmap (quick wins vs long-term initiatives)
• Drive stakeholder workshops and validations
• Lead integration of CI/CD pipelines with observability (logs, metrics, traces, deployment markers)
• Implement tagging strategy (app, env, version, commit ID)
• Integrate with incident, change, and release management systems
• Define and implement service-level KPIs and golden signals
• Build operational and business dashboards
• Configure event correlation and alert tuning to reduce noise
• Track reliability metrics (MTTR, SLOs, change failure rate)
• Define and implement AIOps architecture and use cases
• Drive AIOps (anomaly detection, RCA, event correlation, predictive insights)
• Implement automation, runbooks, and self-healing workflows
• Lead application onboarding and ensure standards adoption
• Act as primary stakeholder interface and drive best practices across teams

Required Skills & Qualifications:

• Proven hands-on experience with Dynatrace SaaS and Managed environments
• Strong knowledge of Azure, AWS, and GCP cloud infrastructures
• Proficiency in infrastructure monitoring (VMs, containers), application performance monitoring (APM), and log analytics
• Familiarity with ActiveGate, OneAgent, Network zone, Extension deployment, and SNMP device monitoring
• Strong experience in Digital experience monitoring
• Strong analytical skills and understanding of AIOps practices
• Excellent communication and documentation skills
• Experience in creating dashboards and defining alert strategies
• Strong experience with Dynatrace (APM, Infra, Logs, DEM, AIOps)
• Deep understanding of SRE, DevOps, and Observability principles
• Experience with CI/CD tools and cloud platforms (Azure/AWS/GCP)
• Knowledge of ITSM integrations and incident management workflows
• Experience in automation, scripting, and AIOps implementations

Preferred Qualifications:

• Dynatrace certification (Associate or Professional)
• ITIL or Service Management experience
• Exposure to enterprise security and compliance standards
• Experience working in multi-tenant or large enterprise environments

Experience Level :10 to 13 years

Role Overview:

We are looking for a hands-on Product Architect / Engineer to design and build an AI-driven operations platform focused on intelligent automation, insights, and optimization across cloud, network, and application operations.This role blends product thinking, architecture, and deep engineering across AI/ML and Agentic AI systems.

Key Responsibilities:

• Architect and build the agentic AI platform leveraging AI, ML, and Agentic AI frameworks
• Design multi-agent systems for use cases for operations domains like Cloud Ops, NetworkOps, ServiceDesk, root cause analysis, anomaly detection, and predictive insights
• Develop data pipelines and telemetry fabric for ingesting and processing large-scale operational data (logs, metrics, traces, topology)
• Build and integrate LLM-powered copilots and autonomous agents for operations 
• Define product architecture, including microservices, APIs, event-driven systems, and scalable cloud-native patterns
• Translate business needs into AI-driven product features and accelerators
• Collaborate with product, operations, and engineering teams to deliver end-to-end capabilities

Key Skills:

• Strong experience in product architecture and full-stack engineering
• Hands-on expertise in:
• AI/ML (model development, inference, MLOps)
• LLMs and Agentic AI frameworks (multi-agent orchestration, reasoning systems)
• Data engineering (streaming, batch, real-time analytics)
• Proficiency in Python and modern frameworks
• Experience with cloud platforms (AWS, Azure) and cloud-native architecture
• Agent framework experience – Microsoft agent framework, langgraph and langchain.
• Strong understanding of:
• Observability systems (logs, metrics, traces)
• AIOps / IT operations platforms
• API design and microservices architecture
• Familiarity with vector databases, embeddings, RAG architectures, and knowledge graphs

Good to Have:

• Experience building autonomous AI agents for IT/network/application operations
• Exposure to FinOps, Cloud Cost Optimization,
• Knowledge of network topology, infrastructure ops, or ITSM tools
• Experience with real-time decisioning systems and event correlation engines

Integrations (API) Engineer – Data Platform

Experience- 4-6 years

Location- Kochi, Chennai, Coimbatore, Mumbai, Pune

We are seeking an Integrations (API) Engineer to design, build, and manage APIs that expose data products from the data platform to downstream applications.

This role is responsible for ensuring that data is delivered reliably, securely, and in a way that is consumable by applications, acting as the bridge between the data platform and consuming systems.

Role Purpose

• Enable Data as a Service (DaaS) through well-designed APIs
• Ensure data products are consumable, performant, and reliable
• Act as the interface between data engineering and application teams

🔧 Key Responsibilities

API Design & Development

• Design and build APIs that expose data products
• Define:
• Endpoints
• Request/response structures
• Payload formats
• Ensure APIs align with data contracts and product definitions

Integration with Data Platform

• Partner with Data Engineers to consume curated datasets correctly and avoid duplicating transformation logic already handled upstream

• Ensure data delivered through APIs is governed, accurate, and fit for purpose

Consumer Integration Support

• Work closely with downstream teams (e.g. EQCR application team) to support onboarding, clarify API usage, and resolve integration issues

Performance & Reliability

• Meet agreed performance benchmarks and SLAs

• Own error handling, logging, and monitoring for all API surfaces

Security & Access Control

• Implement authentication, authorisation, and data access controls

• Ensure APIs comply with data security, governance, and regulatory standards

API Lifecycle Management

• Version APIs appropriately and manage change, deprecation, and backward compatibility

• Maintain clear, up-to-date documentation for all published APIs

Key Deliverables

• Production-ready APIs exposing governed data products
• API documentation covering endpoints, schemas, and usage patterns
• Integration support and onboarding for consuming applications

• Monitoring and alerting covering API performance and availability

Key Interfaces

• Data Engineers → source of curated datasets
• Data Product Manager → API requirements and use cases
• Data Consultant → data definitions, lineage, and rules
• Application Teams → API consumers
• Architecture → standards and patterns

Experience Required

• 4–8+ years in API development or integration engineering
• Strong hands-on experience with REST APIs, JSON, and data contract design
• Experience with Swagger, OpenAPI specification
• Experience of Azure API Gateway, Fast API, Azure Container Apps, Azure functions
• Proven experience integrating with data platforms or complex backend systems
• Solid understanding of API security patterns (OAuth 2.0, token-based auth, Managed Identities)

• Comfortable working across cross-functional teams in a fast-paced delivery environment

Nice to Have

• Experience in data platform environments (lakehouse, etc.)
• Experience in regulated environments
• Familiarity with event-driven architectures

Data Architect

Work Location: Kochi, Coimbatore, Chennai, Mumbai, Pune

Experience- 12-20 years

Who are we Orion is a leading digital transformation and product development services firm. Headquarters in Edison, NJ, we have a global team of 6000+ associates, with engineers in 12 major delivery centers across North America, Europe, Asia and Latin America. For over 25 years. In India, our delivery centers are based in Mumbai, Pune, Hyderabad, Chennai, Coimbatore and Kochi. Orion has been solving complex business problems for our clients. Our transformative business solutions are rooted in digital strategy, experience design, and engineering, empowering our clients to operate with agility on a scale.

Mission: To serve as an agile and trusted partner for business transformation initiatives, providing deep emerging technology, Growth: Our business has more than tripled over the last three years. We have grown aggressively both organically and inorganically, adding new clients, complementary skills, domain expertise, and strengthening our global footprint

Role Overview The role

You will be responsible for designing and implementing the solution architecture to ensure alignment with business goals and objectives. This role involves analysing the current technology infrastructure, identifying areas for improvement, and developing plans to enhance efficiency, scalability, and security. You will need to understand our technology strategy and collaborate with stakeholders, IT teams, and vendors, to develop comprehensive architectural solutions that support the long- term vision.

You will be required to maintain your core knowledge of wider technology trends and the technology ecosystem; build roadmaps and solutions; and govern relevant tech choices within the Firm.

Responsibilities

• Build and maintain extensive Azure, Databricks and Data architecture and solution design skills, providing SME input to projects and/or run/build
• Build and maintain all-round competence in Cloud, and relevant Application, Integration, Data and Security technologies
• Maintain a high level of technical knowledge current, emerging and future technology market trends and their impact on the business
• Develop and maintain expert knowledge of technology ecosystem, the main applications and technologies that support Audit
• If required, provide advice to and/or seek to learn from other Member Firms, client teams and/or clients that are seeking to implement or improve their use of specific technologies and/or methods
• Create and develop relevant documents – POC, reference architecture, roadmaps and other key architecture artefacts
• Create and maintain a detailed view of existing designs to help manage the transition to future state
• Identify business/project risk and mitigate or communicate as necessary
• Carry out additional duties as may occur from time to time as instructed and agreed by leadership
• Develop relationships within the business and technology functions
• Ensure that product roadmaps are aligned to the larger strategy and the Firm's Digital Strategy, and are coherent with those of other Capabilities and technology domain roadmaps
• Work with Capability CTOs, technical SMEs and specific projects to analyse and translate business requirements into technical requirements, ensuring that these are feasible

• Ensure that Solution Architects produce designs that are fit for purpose, adhere to relevant standards and patterns, leverage reusable components, and are coherent with wider tech domains

Skills and experience

• Proven expert knowledge of architecture design relating to Data
• Strong understanding of IaaS, PaaS, SaaS, Cloud hosting and integration technologies
• Business focused, with the ability to communicate and convey messages to both technical and business stakeholders
• Good knowledge of at least 2-3 other domains in Infrastructure, Networking, Security, and Integration
• Good knowledge of EA governance steps required, e.g., Info Sec approval, conceptual and solution architecture reviews, pen tests, code reviews and service acceptance criteria
• Strong experience in Enterprise and Solution Architecture roles
• A high level of general, technical knowledge current, emerging and future technology market trends and their impact on business
• Good understanding of project management concepts, Gantt charts/plans, risks, assumptions, and dependencies, etc.
• Ability to leverage networks in , g., to tap into additional expertise if required
• Good understanding of technical debt, its causes, how to measure it, and remedial actions. decommissioning
• Experience of working with project teams both onshore and/or offshore
• Comfortable working with ambiguity at the beginning of projects, with ability to provide clarity of direction despite this
• Mentor and coach junior colleagues where necessary

Desirable

• Knowledge of Databricks
• Knowledge of AWS and GCP
• Bring fresh ideas to the team and wider firm, g. new software, containerisation or automation (e.g. infra as code) of existing infrastructure and projects
• Practical understanding of GDPR and ISO 27001
• Qualified in ITIL and TOGAF (The Open Group Architecture Framework)

Education

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

What We Offer

• A competitive salary and comprehensive benefits
• The opportunity to work on challenging problems with a talented, diverse
• A dedicated budget for professional development, conferences, and
• Flexible working hours and a hybrid work
• A dynamic and innovative work environment where your technical vision will shape the future of our

www.orioninc.com

(18) Orion Innovation: Overview | LinkedIn

Key Responsibilities:

• Prepare and file employment-based immigration petitions and supporting documentation for H-1B (CAP, extensions, amendments, and transfers), TN, and L-1A/L-1B visa categories, ensuring compliance with applicable U.S. Citizenship and Immigration Services (USCIS) and Department of Labor (DOL) regulations.
• Manage and administer a portfolio of employment-based immigration matters including H-1B, L-1A/L-1B, TN, E visas, O1 visas and employment-based permanent residency (Green Card) by evaluating eligibility, reviewing documentation, and determining appropriate visa strategies.
• Draft and prepare immigration petitions, supporting letters, forms, and documentation required for submission to USCIS and other government agencies, including preparation of Form I-129 petitions, Labor Condition Applications (LCAs), and supporting evidence packages.
• Review and analyze immigration petitions and application materials to ensure accuracy, completeness, and compliance with regulatory requirements prior to submission to immigration counsel or government agencies.
• Coordinate and manage immigration case preparation and filing processes in collaboration with immigration attorneys, ensuring timely submission of petitions and compliance with filing deadlines.
• Provide immigration guidance and support to employees and consultants regarding visa eligibility, petition requirements, status maintenance, and documentation requirements.
• Track and monitor the status of immigration petitions and applications filed with government agencies including USCIS and the Department of State, maintaining accurate records and case management documentation.
• Assist employees in preparation and review of DS-160 visa applications, visa stamping documentation, and interview preparation materials for employees attending U.S. consular interviews.
• Prepare and review employment verification letters, experience letters, and client/vendor documentation required to support immigration petitions and visa applications.
• Coordinate with HR, recruiting teams, and hiring managers to assess immigration sponsorship needs and ensure compliance with immigration policies and workforce planning requirements.
• Support employment-based permanent residency processes by coordinating with external counsel on PERM labor certification and I-140 immigrant petition filings, including preparation and collection of supporting documentation.
• Maintain detailed records of immigration filings and ensure compliance with internal policies and U.S. immigration regulations.
• Serve as a subject matter resource for internal stakeholders by responding to immigration-related inquiries and providing updates on immigration policies and procedural changes.

Key Skills:

• Excellent communication skills for effective collaboration and coordination.
• Proficiency in project management and planning methodologies.
• Strong content editing and writing skills.
• Solid administrative capabilities to streamline processes.
• Experience in data analysis and generating actionable insights.
• 5 - 8 years of relevant professional experience.

Job Overview:

We are seeking an experienced Azure Cloud Application Architect to design and implement enterprise-grade, cloud-native solutions using Azure services. This role involves defining best practices for architecture, governance, security, and cost optimization while enabling CI/CD and Infrastructure as Code. You will provide technical leadership, mentor teams, and act as a trusted advisor to clients, driving modernization, migration, and innovation initiatives. The position also includes pre-sales and post-sales engagement, building strategic partnerships, and contributing to thought leadership through white papers and presentations.

Experience: 10+ years

Key Responsibilities:

• Design and implement cloud-native application architectures using Azure services (App Services, AKS, Functions, Service Bus, etc.).
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Establish governance, cost optimization, and security best practices for Azure applications.
• Work closely with DevOps teams to enable CI/CD pipelines and infrastructure as code (IaC).
• Provide technical leadership, mentoring, and guidance to development teams.      
• Define and implement best practices architecture design, deployment, and operations.
• Design highly available, scalable, and cost-effective cloud solutions meeting business requirements.
• Collaborate with cross-functional teams, including DevOps, development, and business units, to align cloud solutions with organizational goals.
• Analyse complex technical issues, provide recommendations, and lead the resolution efforts for cloud-related challenges.
• Build capabilities, offerings, service accelerators and differentiators.
• Build a go-to-market strategy that highlights our cloud offerings that best support our customers' challenges.
• Innovation and Thought leadership, bringing out white papers, blogs, presentations, and collaterals.
• Responsible for delivering solutions architecture for major clients.
• Client Relationship Management (both pre-sales, Solution & post-sales)
• Be client CIO/CTO's trusted advisor.
• Deliver superior value and conduct project reviews.
• Enable teams to deliver better value in projects.
• Coaching, Mentoring and Provide team a clear direction.

Should be hands on:

• Create and maintain architectural documentation, reports, and presentations for stakeholders.
• Define solution blueprints and oversee application modernization and migration to Azure.
• Pre-sales / post-sales (play an active role in winning business)
• Build and grow relationships with cloud and alliance partners to expand our relationship, offerings, and revenues.
• Build relationships with key client decision makers and influences in partnership with sales and marketing.

Key Skills:

• Expertise in designing high-level, enterprise grade solution architecture
• At least 10+ years of relevant experience as an Azure Cloud App Architect
• Ability to manage estimates, tasks, escalations, risks/issues
• Ability to clearly articulate concepts to people with varying technical background
• Azure Certified Solution Architect - Az 303/304/305.

Job Overview:

We are looking for a Senior GenAI Developer to design, build, and productionize agentic AI systems—LLM-powered agents that can plan, use tools, orchestrate workflows, and operate reliably under enterprise constraints. You will own key parts of the agent architecture (planning, tool use, memory, evaluation, safety/guardrails, and observability) and deliver end-to-end solutions across RAG, function/tool calling, multi-agent coordination, and scalable deployment.

Key Responsibilities

• Design and implement agentic systems: single-agent and multi-agent architectures (planner/executor, supervisor-worker, routing, reflection, critique, task decomposition).
• Build robust tool-using agents: function calling, tool schemas, tool authorization, retries, rate limiting, and sandboxing.
• Implement RAG + memory patterns: retrieval strategies, hybrid search, context assembly, long-term memory, and grounding/citation behaviors.
• Develop workflow orchestration for agent execution (state machines/graphs), concurrency controls, and deterministic execution where possible.
• Productionize GenAI services: APIs, background jobs, streaming responses, caching, and cost/latency optimization.
• Establish agent evaluation: golden sets, simulation-based evals, LLM-as-judge with mitigations, task success metrics, regression testing.
• Build observability and safety: tracing, token/tool telemetry, anomaly detection, prompt injection defenses, data leakage prevention, policy enforcement.
• Collaborate with product, security, and platform teams to deliver enterprise-ready solutions and integrate with internal systems (data, identity, workflow).
• Mentor engineers, set coding standards, and contribute to architecture reviews and technical roadmaps.

Required Qualifications

• 6+ years software engineering experience; 2+ years building LLM/GenAI systems in production.
• Strong programming skills in Python (required) and/or TypeScript/Node.js.
• Hands-on experience building agents (tool calling, planning, routing, multi-step workflows) beyond simple chatbots.
• Solid understanding of prompting, context window management, grounding, hallucination failure modes, and mitigation strategies.
• Experience with RAG: embeddings, vector databases, chunking strategies, hybrid retrieval, re-ranking.
• Proven ability to ship production services: Docker/Kubernetes, REST/gRPC, CI/CD, monitoring, incident response basics.
• Strong data/security instincts: secrets management, PII handling, secure tool access, least privilege

Azure Developer (3–7 Years Experience)

Location: India

Role Overview

We are seeking an Azure Developer with strong hands-on development experience and a solid understanding of modern software design principles. The ideal candidate will work closely with architects, clients, and development teams to build scalable, secure, and high-performing cloud-based solutions.

Key Responsibilities

• Design, develop, and support enterprise-level integration solutions using Azure technologies.
• Build and maintain .NET-based web applications and RESTful APIs.
• Contribute to technical design and solution architecture discussions.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in requirement discussions, development planning, and progress reviews.
• Follow best practices for coding standards, security, performance, and scalability.
• Support application deployment, troubleshooting, and enhancements.

Required Skills & Experience

• 3–7 years of overall IT experience, with strong focus on application development.
• 3+ years of hands-on experience with Azure technologies such as:
  • Azure Logic Apps
  • Azure Service Bus
  • Azure Web Apps / API Apps
• Experience with BizTalk is a plus.
• Strong experience in .NET development (C#, ASP.NET, Web APIs, REST services).
• Good understanding of enterprise design patterns such as MVC, SOLID, Microservices, and basic CQRS concepts.
• 2–4 years of experience with SQL Server; exposure to NoSQL databases is an advantage.
• Working knowledge of UI frameworks like Angular or React is desirable.
• Awareness of OWASP security standards and secure coding practices.

Nice to Have

• Experience with Unit Testing / TDD.
• Exposure to Azure DevOps, CI/CD pipelines.
• Basic knowledge of HL7/FHIR or healthcare integrations is a plus.

Soft Skills

• Strong analytical and problem-solving skills.
• Quick learner with a passion for new technologies.
• Self-driven, proactive, and dependable.
• Good communication skills with the ability to interact with clients and stakeholders.
• Team player comfortable working in collaborative environments.

Role: GenAI Lead Engineer

Experience: 8+ years total (with significant hands-on GenAI / LLM work)

Job Overview:

We are seeking an innovative and highly skilled Lead Generative AI (GenAI) Engineer to spearhead the design, development, and deployment of advanced AI-powered solutions. In this role, you will lead a team of engineers and data scientists to harness cutting-edge Generative AI technologies and implement them to solve complex business problems, enhance user experiences, and drive innovation. This role combines deep technical expertise, leadership, and a strong understanding of AI trends and tools.

Key Responsibilities:

• Technical Leadership:
• Lead the end-to-end design and implementation of Generative AI solutions.
• Provide technical guidance and mentorship to engineers and data scientists working on GenAI projects.
• Stay updated with the latest trends, research, and advancements in Generative AI and Large Language Models (LLMs).
• Solution Development:
• Architect, train, and fine-tune state-of-the-art LLMs and generative AI models
• Develop and optimize pipelines for prompt engineering, retrieval-augmented generation (RAG), and domain-specific fine-tuning.
• Develop and deploy generative AI models, particularly focusing on ChatGPT, using Python on Azure or AWS Platform or .Net on Azure platform
• Ensure scalability, performance, and security of AI solutions deployed in production.
• Integration and Deployment:
• API Development: Ability to define and deliver API access for GenAI services, facilitating integration with other systems and applications.
• Collaborate with software engineering teams to integrate GenAI solutions into enterprise applications and services.
• Utilize cloud platforms (e.g., Azure, AWS, or GCP) to deploy and manage AI models and APIs.
• Leverage MLOps practices for continuous model monitoring, retraining, and improvement.
• Data Strategy and Preparation:
• Collaborate with data engineering teams to ensure high-quality data acquisition, preprocessing, and augmentation for model training and fine-tuning.
• Implement data governance and privacy practices in line with organizational policies.
• Innovation and Research:
• Experiment with new generative AI techniques, such as multimodal AI, reinforcement learning with human feedback (RLHF), and active learning.
• Evaluate and recommend AI frameworks, libraries, and platforms for project requirements.
• Stakeholder Collaboration:
• Work closely with product managers, business stakeholders, and UX designers to define AI-powered product features and use cases.
• Present technical concepts, project progress, and AI capabilities to non-technical audiences.

Key Requirements

• Technical Skills:
• Hands-on experience with cloud platforms and services for AI/ML, such as Azure AI Services, Azure Machine Learning, AWS Bedrock, or Google Vertex AI.
• Hands on experience in any of LLMs such as OpenAI’s ChatGPT Models , Gemini, Llama 2 ,Claude 2 ,Grok
• Hands on experience in any of the agentic frameworks like LangChain, Semantic kernel, AutoGen, CrewAi
• Hands on experience using any of vector database like Chroma, Pinecone, Weaviate, Faiss
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF)
• Strong expertise in LLMs and generative AI frameworks like OpenAI, Hugging Face Transformers, or similar platforms.
• Deep understanding of natural language processing (NLP) concepts, including tokenization, embeddings, and sequence-to-sequence models.
• Proficiency in Python and libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Experience in CI/CD pipeline management and automation tools, particularly within the Azure DevOps environment. Knowledge of containerization (e.g., Docker) and orchestration tools is also important
• Familiarity with MLOps tools and practices, such as MLflow, Kubeflow, or Docker.

Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).
• 8+ years of experience in AI/ML engineering, with 2+ years specifically in Generative AI.
• Minimum of 2 years of experience in building Conversational AI applications using cloud-based services and in orchestrating AI/ML services for building a complete solution
• Minimum of 6 years of extensive full-time experience in Data Analysis, Statistics, Machine Learning, or Computer Science
• Proven track record of leading AI projects from inception to production.
• Experience with multimodal AI and advanced techniques like Tree-of-Thoughts, Retrieval-Augmented Generation (RAG), or Reinforcement Learning with Human Feedback (RLHF).
• Certifications in AI/ML or cloud platforms (e.g., Azure AI Engineer, AWS Certified Machine Learning).

Job Overview:

We are looking for a senior technical lead to design, scale, and govern enterprise-grade data platforms across Microsoft Fabric, Databricks, and Snowflake. The role focuses on defining data architecture standards, enabling AI/GenAI-ready platforms, leading engineering teams, and delivering secure, high-performance cloud data solutions that support analytics and business outcomes.

Key Responsibilities

• Lead the design and implementation of scalable data platforms using Microsoft Fabric, Databricks and Snowflake including Pipelines, Notebooks, Lakehouse, Data Warehouse, and Semantic Models.
• Define end-to-end data architecture standards, patterns, and best practices across ingestion, storage, transformation, modeling, and consumption layers.
• Guide technical decisions on compute patterns, storage optimization, pipeline orchestration, and data modeling frameworks.
• Evaluate and integrate emerging technologies to modernize the platform and enable AI/GenAI workloads.
• Partner with AI/ML teams to productionize models and integrate them with enterprise data workflows.
• Ensure data governance, lineage tracking, and metadata standards to support trustworthy AI initiatives.
• Champion data governance, security, privacy, and compliance requirements within the platform.
• Implement observability frameworks for pipeline monitoring, performance tuning, and reliability engineering.
• Drive continuous improvement initiatives to enhance platform robustness and engineering productivity.
• Work closely with product owners, business stakeholders, architects, and analytics teams to translate requirements into scalable technical solutions.
• Serve as the primary technical point of contact for data platform projects and stakeholders.
• Communicate technical roadmaps, project risks, and delivery plans clearly and effectively.
• Develop and deliver dashboards and reports using Power BI and Tableau.

Key Skills:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or equivalent professional experience.
• 12+ years of experience in data engineering, data platform development, or cloud data architecture.
• 3+ years in a technical leadership or team management role.
• Mandatory deep hands-on expertise with Microsoft Fabric, Snowflake or Databricks:
  • Pipelines
  • Notebooks
  • Lakehouse
  • Data Warehouse
  • Semantic Models
• Strong proficiency in PySpark, distributed compute, and data transformation frameworks.
• Advanced SQL capabilities and experience building stored procedures for transactional and analytical workloads.
• Proven track record in designing and delivering large-scale data platforms in cloud environments (Azure preferred).
• Solid understanding of AI/ML data workflows, GenAI dataset preparation, and integration patterns.
• Demonstrated ability to lead engineering teams, drive architectural decisions, and oversee complex technology implementations.
• Strong communication, stakeholder management, and technical documentation skills.
• Proficiency in creating interactive dashboards and reports using Power BI and Tableau.

Job Description : 

• 10+ years in Software / Data / ML engineering, including 3+ years in AI/ML, and 2+ years specifically in LLM / GenAI projects.
• Proven experience as a Tech Lead / Architect leading engineering teams or projects.
• Deep hands-on experience with: LLM APIs (OpenAI, Azure OpenAI, or equivalent).
• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search).
• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..
• Strong Python skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (FastAPI, Flask, .NET, Node) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

Job Overview:

We are seeking a seasoned AI Developer to lead the design and implementation of next-generation Agentic AI solutions. You won't just be building chatbots; you will be architecting autonomous systems where multiple specialized AI agents collaborate to solve complex, long-horizon business problems. You will leverage a multi-cloud strategy to deploy scalable, resilient, and "reasoning-heavy" AI workflows.

 Key Responsibilities

• Agentic Architecture: Design and develop autonomous agents capable of independent planning, tool-use (function calling), context & prompt engineering, and self-correction.
• Multi-Agent Orchestration: Implement LangGraph to manage task delegation, conflict resolution, and collaborative reasoning between specialized agents.
• Advanced RAG & Memory: Build sophisticated Retrieval-Augmented Generation (RAG) pipelines with episodic and semantic memory to ensure agents maintain context over long interactions.
• Cloud-Native Deployment: Architect and deploy AI services across AWS (Bedrock/SageMaker), Azure (OpenAI Service/Foundry), ensuring high availability and cost optimization.
• Guardrails & Ethics: Implement rigorous evaluation frameworks (e.g., Ragas, TruLens) and safety guardrails to prevent hallucinations and ensure responsible agent behavior.
• Performance Tuning: Optimize LLM latency and throughput using techniques like prompt caching, quantization, and specialized model routing.
• Prompt engineering & Context engineering.

Key Skills:

• Core AI: 4+ years of professional experience in AI/ML, with at least 1.5+ years focused specifically on Generative AI and LLM orchestration.
• Agent Frameworks: Hands-on expertise with LangGraph. Proven ability to build "loops" and "state machines" rather than just linear chains.
• Programming: Mastery of Python (Asyncio, Pydantic, FastAPI). Experience with TypeScript/Node.js is a significant plus.
• Cloud Infrastructure:
• AWS: Bedrock, Lambda, Step Functions, S3.
• Azure: Azure OpenAI, AI Search, CosmosDB, PostgreSQL.
• Data & Memory: Proficiency with Vector Databases like Pinecone, Weaviate, Milvus, or pgvector. Understanding of graph databases (Neo4j) for knowledge-graph-enhanced RAG.
• DevOps/AIOps: Experience with Docker, Kubernetes, and CI/CD pipelines specifically for AI (LLMOps).

 Preferred Qualifications

• Contributions to open-source AI frameworks or research publications in MAS.
• Experience with Model Context Protocol (MCP) or Agent-to-Agent (A2A) communication standards.
• Familiarity with fine-tuning techniques (LoRA, QLoRA) for specialized agent tasks.