Responsibilities

Workato is opening a brand-new office in Hyderabad, and we're looking for a driven Talent Acquisition Partner to help us scale. This is your chance to join one of the world's leading enterprise automation platforms, you'll be playing a pivotal role in shaping the team that will power our next phase of growth globally.

This is an initial 12 month contract position. 

What you'll be doing

You'll own full-cycle recruiting end-to-end, partnering directly with hiring managers and senior stakeholders to bring world-class talent into our new Hyderabad hub. Day-to-day, that looks like:

• Building and nurturing strong talent pipelines to support both immediate and future hiring needs
• Partnering with hiring managers to design smart, structured recruitment processes that consistently land the best people
• Crafting compelling job descriptions and sharp interview frameworks tailored to each role
• Running screening calls, assessments, and interview coordination with speed and precision
• Sourcing creatively — from LinkedIn and professional networks through to events, referrals, and beyond
• Keeping candidates engaged and moving through the process efficiently, with a great experience at every touchpoint
• Producing weekly recruiting metrics and pipeline dashboards via Greenhouse, keeping stakeholders informed and decisions data-driven
• Building genuine long-term relationships with candidates, even those who aren't the right fit today

What you'll bring

• 5+ years of recruiting experience. With at least 1 year in house. A combination of agency and in house experience is strongly preferred.
• A background in high-growth SaaS or tech — this is a must; you'll need to hit the ground running in a fast-paced, ambiguous environment
• Familiarity with an ATS (we use Greenhouse)
• The kind of consultative, relationship-first approach that earns trust with both candidates and business partners
• A self-starter mindset — you don't wait to be told what to do; you spot the gap and fill it
• Excellent communication, strong attention to detail, and the ability to juggle multiple priorities without dropping the ball

(REQ ID: 2634)

Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering tea.. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Implement agent-based AI solutions using the Workato Agentic AI platform.

• Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows

• Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 4+ years of relevant experience in design, development, and implementation, with at least 1 years of experience in Workato, is a must.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• Hands-on experience with any of the following: Java, Python, or Ruby

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

Job Req ID: 2612

Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering tea.. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

In this role, you will also be responsible to:

• Implement agent-based AI solutions using the Workato Agentic AI platform.

• Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows

• Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 4+ years of relevant experience in design, development, and implementation, with at least 1 years of experience in Workato, is a must.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• Hands-on experience with any of the following: Java, Python, or Ruby

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

(REQ ID: 2619)

Responsibilities

We are seeking an exceptional Staff Automation Engineer to design and implement innovative solutions that empower our Product, Engineering, and Customer Success teams to move faster, build smarter, and deliver more value to our customers.

You’ll work at the intersection of SaaS, cloud platforms, and automation—provisioning and managing cloud resources, developing tools for seamless operations, and automating critical infrastructure processes. Your expertise will help incubate new projects, streamline CI/CD, and ensure our environments are secure, scalable, and reliable.

If you thrive in a collaborative, fast-paced environment and love solving complex challenges with technology, this is your opportunity to make a real impact. Join us and help drive the next generation of cloud automation at Workato!

In this role, you will also be responsible to:

• Lead end-to-end cloud infrastructure automation projects aligned to business requirements — owning architecture, delivery, and outcomes across the full project lifecycle, to drive operational efficiency, scalability, and reliability in the business.

• Design challenging, enterprise-grade automation architectures spanning multi-system integrations, event-driven workflows, and infrastructure provisioning pipelines.

• Architect and implement cloud infrastructure for project incubation, including provisioning cloud accounts, deploying services, automating CI/CD pipelines, and enforcing security best practices.

• Design and automate infrastructure-related processes to drive operational efficiency, scalability, and reliability.

• Partner closely with stakeholders across product, security, engineering, operations, and business leadership to translate needs into technical solutions, communicating trade-offs clearly to both technical and executive audiences.

• Drive cross-functional project execution — anticipate risks early, remove blockers, and keep delivery moving without sacrificing scalability or quality.

• Design, build and enhance tools for efficient management and monitoring of cloud services and resources. These tools will be used by Product, Marketing, and Field teams to create and maintain connectors, build POCs, and impactful demos.

• Mentor and elevate peer engineers through design reviews, hands-on coaching, and knowledge transfer on complex cloud infrastructure topics.

• Set the technical bar for the team by championing best practices in solution design, documentation, governance, and continuous learning.

• Continuously evaluate and adopt new technologies, tools, and Workato features to enhance automation capabilities and infrastructure operations.

Requirements

Qualifications / Experience / Technical Skills

Required:

• 7+ years of hands-on experience delivering end-to-end automation and cloud infrastructure projects — from requirements through production deployment.

• Demonstrated experience managing full project lifecycles: scoping, architecture, stakeholder alignment, delivery, and post-launch iteration.

• Track record of delivering complex, multi-system integrations in cross-functional environments involving Engineering, Product, and business stakeholders.

• Experience working with CI/CD pipelines and IaC tools (Terraform, CloudFormation) in real production environments, not just prototypes.

• Proven experience designing, building, and maintaining automation solutions for cloud infrastructure (AWS, Azure, GCP, or similar), including CI/CD pipelines, infrastructure provisioning, and SDLC best practices.

• Strong hands-on knowledge of cloud architecture, networking, and security best practices.

• Hands-on experience with iPaaS, workflow automation, or low-code/no-code integration platforms; Workato experience strongly preferred.

• Excellent communication and stakeholder collaboration skills — able to translate technical complexity for both engineering and business audiences.

• Strong technical documentation skills for solutions, architectures, and operational processes.

Ideal:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field.

• Experience mentoring engineers and driving adoption of engineering best practices at team level.

• Workato platform certification or demonstrated advanced proficiency.

• Experience with process orchestration tools implementing integration projects involving complex enterprise systems (e.g., SAP, Oracle, Dynamics) and cloud business apps (e.g., Workday, NetSuite, Salesforce).

• Certifications in major cloud platforms (AWS Certified Solutions Architect, Azure Solutions Architect, etc.).

• Background in enterprise architecture and solution design patterns (e.g., SOLID, DRY, KISS).

• Familiarity with security automation, policy-as-code, and cloud governance frameworks.

• Experience integrating cloud infrastructure with business systems (e.g., ITSM, CRM, ERP) via APIs and connectors.

Soft Skills / Personal Characteristics

• Collaboration & Stakeholder Partnership: Has worked across Engineering, Product, Customer Success, and business teams on real, end-to-end projects — knows how to align stakeholders, navigate competing priorities, and keep delivery moving.

• Communication: Communicates complex technical concepts clearly and confidently to both technical and non-technical audiences — in written docs, design reviews, and stakeholder presentations.

• Ownership & Initiative: Takes end-to-end accountability for project outcomes — from ambiguous requirements to delivered solution — without needing direction or hand-holding.

• Adaptability: Has navigated changing requirements, shifting priorities, and technical unknowns mid-project and delivered anyway.

• Influence & Leadership: Drives technical decisions and best practices through expertise and credibility; mentors peers and elevates team capability.

(REQ ID: 2732)

Responsibilities

We are seeking a hands-on, detail-oriented Solutions Engineer to join our Solution Consulting team and support demo and proof-of-value (PoV) environments for sales, marketing, and customer success initiatives. You will collaborate with solutions architects, product managers, and developers to ensure that lab infrastructure is robust, secure, and aligned with real-world use cases.

In this role, you will be responsible to:

Pre-Sales & Technical Engagement

• Partner with AEs, Solution Architects, and cross-functional teams to deliver tailored platform demonstrations, manage POC engagements, and respond to RFI/RFP requests — driving technical sales cycles to completion.Collaborate with Customer Success to ensure seamless solution delivery and a positive post-sale customer experience.

Demo Environment & Infrastructure

• Design, deploy, and maintain virtual and physical lab environments across hybrid cloud and on-premise platforms (VMware, KVM, AWS, Azure, GCP), ensuring availability, security, and alignment with the latest product releases.Develop and maintain automation scripts (PowerShell, Python, Bash, Ansible, Terraform) and reusable components to streamline environment provisioning and accelerate field team deployments.

Collaboration & Enablement

• Work cross-functionally with Solution Architects, Product Managers, and Field Engineering to ensure demo content reflects current product capabilities and best practices.Maintain comprehensive documentation and troubleshooting guides, providing ongoing guidance and support to field teams on demo setup and usage.

Requirements

Qualifications / Experience / Technical Skills

• 2–4 years of experience in systems engineering, presales, back office support, deve ops, IT infrastructure

• Familiarity with infrastructure automation tools (e.g., Ansible, Terraform, Packer).

• Familiar with APIM, Integration, and Data Integration platforms (Boomi, Workato, Mulesoft)

• Basic scripting skills in Python, Ruby, PowerShell, or Bash.

• Experience managing cloud-based resources (e.g., AWS EC2, Azure VM).

• Strong problem-solving skills and the ability to work independently.

Preferred:

• Experience with CI/CD pipelines and version control (e.g., GitLab CI, GitHub Actions).

• Familiarity with containerization technologies (e.g., Docker, Kubernetes).

• Experience working with demo platforms or technical enablement teams.

• Understanding of enterprise software architectures and APIs (REST, gRPC).

Soft Skills / Personal Characteristics

• Strong written and verbal communication skills to collaborate effectively across technical and non-technical teams.

• Able to translate technical requirements into actionable lab builds.

• Highly organised, with the ability to manage multiple concurrent tasks or environments.

• Comfortable working in fast-paced and collaborative settings.

Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering tea.. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

• Implement agent-based AI solutions using the Workato Agentic AI platform.

• Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows

• Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A total of 4+ years of relevant experience in design, development, and implementation, with at least 1 years of experience in Workato, is a must.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus. Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• Hands-on experience with any of the following: Java, Python, or Ruby

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge

Job Req ID: 2610

Responsibilities

We are looking for an experienced and exceptional Senior AI Engineer (Voice AI) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.

• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.

• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.

• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.

• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.

• Lead technical initiatives for AI system integration into existing products and services.

• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.

• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).

• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).

• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).

• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.

• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.

• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.

• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.

• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus

• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with a strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2676)

Responsibilities

We are looking for an exceptional Senior Automation Engineer to join our growing team. Embedded within the Product organization, you will lead the design and delivery of AI-powered automations that eliminate inefficiencies, amplify productivity, and enable our Product and Security teams to focus on high-value work and deliver meaningful business outcomes.

In this role, you will also be responsible to:

• Build AI-powered automation solutions. Design, implement, and maintain scalable, AI-driven automations that meaningfully improve productivity and efficiency across Product and Security processes.

• Drive process excellence. Identify and eliminate inefficiencies in Product and Security workflows, document best practices, and establish standards that support long-term operational health.

• Collaborate with stakeholders. Lead and participate in discovery and solution design sessions with Product and Security teams, ensuring automations are tightly aligned with business goals and user needs.

• Champion AI adoption. Actively explore and integrate AI capabilities into automation workflows, staying at the forefront of what's possible with tools like Workato and emerging AI technologies.

• Share knowledge. Document solutions, processes, and best practices to support team learning, onboarding, and ongoing maintenance.

• Invest in growth. Dedicate time to self-directed learning and research to stay current with AI and automation trends, continuously deepening your technical expertise.

• Develop the team. Mentor and guide junior engineers, fostering a culture of technical excellence, AI curiosity, and continuous improvement.

Requirements

Qualifications / Experience / Technical Skills

Required

• A background in information systems, computer science, engineering, or equivalent industry experience.
• 6+ years of experience in software engineering or technical consulting roles, with a focus on Workato or other integration platforms
• Ability to define and create architectures that are scalable and extensible, according to business requirements, environments, and limitations, adhering to standards, best practices
• Experience in enterprise integration tools like Workato, Mulesoft, Snaplogic, Deel Boomi, Oracle Integration Cloud, Tibco etc.
• Working experience with RESTful APIs, OAuth authentication, policies, api management, etc.
• Working experience with SQL in any RDBMS.
• Experience with Gen AI, such as OpenAI, Anthropic, and others, and Vector databases
• Experience working on projects using agile methodologies and experience in product management tools such as Jira 
• Experience building software and designing distributed solutions.
• Ability to work in the EMEA timezone (2pm to 11pm IST)

Ideal

• Experience in security and grc automations
• Experience in incident and change management processesExperience with AWS basic administration
• Experience in implementing integration projects involving complex enterprise systems (e.g., SAP, Oracle, Dynamics) and cloud business apps (e.g., Workday, NetSuite, Salesforce).
• Coding experience in Java/Python/Ruby, with knowledge of SOAP/XML, is considered a plus.
• Understanding of security best practices for integration and data handling.
• Experience in user experience (UX) design is a plus.

Soft Skills / Personal Characteristics

• Strong written and oral communication skills in English, enabling effective communication of complex technical concepts to diverse audiences.
• Technologically adept and quick to grasp new systems and concepts
• Collaborative team player with a proactive mindset, always seeking continuous improvement opportunities.
• Adaptability to thrive in a dynamic startup environment, coupled with proactive, outside-the-box thinking.
• Strong analytical and problem-solving skills.

(REQ ID: 2632)

Responsibilities

We are seeking a Senior Full Stack Software Engineer to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

Job Req ID: 2319

Responsibilities

The Manager, Presales Shared Services leads a centralised, high-impact team that accelerates pipeline and improves presales execution quality across the organisation. This role is the operational backbone of the presales motion — owning the development and maintenance of demo assets, proof of concept delivery, RFI/RFP response management, and the health of the demo lab environment. The ideal candidate is a technically strong, operationally minded leader who thrives at the intersection of engineering, storytelling, and sales enablement.

You will also be responsible to:

Demo & POC Development

• Oversee creation and continuous improvement of reusable demo assets aligned to latest product capabilities and key use cases

• Lead scoping, building, and delivery of POCs for strategic and complex opportunities, ensuring technical quality and buyer alignment

• Establish best practices for demo scripting, environment stability, and persona-based storytelling

RFI / RFP Response Management

• Own end-to-end RFI, RFP, and security questionnaire responses, ensuring accuracy, quality, and on-time delivery

• Build and maintain a centralised response library in collaboration with Product, Legal, and Security teams

• Triage and prioritise incoming requests by strategic value and define clear SLAs for turnaround

Demo Lab & Environment Management

• Accountable for the reliability, scalability, and governance of all demo lab environments

• Oversee provisioning, access management, version control, and regular audits to reflect current product releases

• Establish processes for environment requests, new use case onboarding, and deprecation of outdated assets

Team Leadership & Development

• Hire, onboard, coach, and develop a high-performing team of presales engineers and technical specialists

• Set clear goals, run regular performance conversations, and foster a culture of craftsmanship and continuous improvement

• Balance workload across the team while protecting capacity for high-priority strategic deals

Presales Collaboration & Stakeholder Engagement

• Serve as a strategic partner to regional presales teams, establishing clear intake and engagement models for shared services access

• Participate in pipeline reviews, QBRs, and planning sessions to anticipate demand and align priorities

• Build trusted relationships with presales leaders, positioning the team as a force multiplier across the business

Requirements

Qualifications / Experience / Technical Skills

Required

• 5–7 years in presales, solutions consulting, or technical sales engineering, with at least 2 years in a team lead or management role

• Hands-on experience building and delivering enterprise software demos and POCs, with the ability to craft compelling technical narratives for different buyer personas

• Proven experience managing RFP/RFI processes at scale, maintaining content libraries, and strong project management skills across multiple concurrent workstreams

Technical Background

• Familiarity with enterprise SaaS platforms, integration, automation, or adjacent technologies strongly preferred

• Experience managing demo or lab environments, including provisioning, sandbox governance, and version management

• Comfortable working with demo automation platforms, CRM systems, and standard collaboration tooling

Leadership & Collaboration

• Proven ability to lead and motivate technical teams, setting a high bar for quality and fostering a culture of knowledge sharing

• Strong communication skills with the ability to engage credibly across both technical practitioners and senior presales and sales leaders

• Experience in a shared services, centre of excellence, or enablement function is a strong differentiator

Soft Skills / Personal Characteristics

• Collaborative, adaptable, and proactive — thrives in a dynamic, high-growth environment with a passion for making an impact through technology

• Proven ability to build a winning team culture that promotes growth, personal development, and continuous improvement

• Strong written and verbal communication skills in English, with the ability to translate complex technical concepts for non-technical audiences

• Sharp business and technical acumen, with a track record of turning technology passion into measurable customer impact

• Willingness to travel as needed and work flexible hours across the territory

(REQ ID: 2616)

Responsibilities

We are looking for an experienced and exceptional AI / Machine Learning Engineer to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. 

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on LLMs, AI Agents, and retrieval-augmented generation (RAG) architectures.

• Build production-grade AI pipelines for data processing, model training, fine-tuning, and serving at scale.

• Build conversational AI interfaces that handle multi-turn customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.

• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, and conversation outcomes to improve model performance over time.

• Create analytics dashboards and reporting tools to track automation effectiveness, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores.

• Lead technical initiatives for AI system integration into existing products and services.

• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.

• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).

• Demonstrated experience building production conversational AI systems including chatbots, virtual assistants, and automated support agents using LLMs (OpenAI, Anthropic, open-source models).

• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, and conversation flow management.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.

• Strong background in customer support metrics and KPIs including CSAT, first contact resolution, average handle time, and containment rate optimization.

• Experience with sentiment analysis and emotion detection for escalation triggers and customer satisfaction monitoring.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Proficiency with contact center platforms (Zendesk, Salesforce Service Cloud, Genesys, or similar) and their API integrations.

• Experience implementing real-time agent assist systems that provide suggestions, knowledge articles, and response templates during live interactions.

• Familiarity with compliance and security requirements for handling sensitive customer data in automated systems (PCI, HIPAA, GDPR).

• Experience with A/B testing and experimentation frameworks for optimizing conversation flows and response strategies.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts

• Collaborative mindset for cross-functional team work

• Detail-oriented with strong focus on quality

• Self-motivated and able to work independently

• Passion for solving complex search problems

(REQ ID: 2675)

About the Role

Workato is looking for a Principal Technical Architect, AI to join as a Field Specialist operating at the intersection of applied AI engineering and customer-facing technical strategy. This is a dual-mandate role with an approximately equal split:

Mandate 1 – AI Field Specialist (Customer-facing): You will work directly with enterprise customers and prospects in pre-sales and post-sales engagements to define and architect their AI strategies on Workato. This includes designing agentic automation solutions, advising on the latest approaches and best practices, scoping AI agent implementations, and helping customers move from proof-of-concept to production-grade autonomous systems.

Mandate 2 – Agentic CS Platform (Internal initiative): You will be a core architect and developer on Workato's autonomous Customer Success agent initiative, a production-grade system that captures complete customer context to support reasoning, and compounds intelligence over time. You will own the agent and memory architecture, evals and learning loop, and autonomy framework that power this system.

This is a role for someone who builds agentic systems to orchestrate LLMs into reliable, auditable, enterprise-grade agent architectures, and who can articulate that vision to a customer CIO and technical leaders as fluently as they can implement it in code.

Workato has a positive, diverse, and collaborative culture; we look for people who are curious, inventive, smart, hardworking, and who work to be a little better every day.

Responsibilities

AI Field Specialist

• Support as an expert AI architect in strategic enterprise engagements: roadmapping customer AI agent use cases and delivering technical deep-dives that demonstrate Workato's agentic capabilities.
• Lead architecture workshops with enterprise customers to define their AI automation strategy, including agent design, integration patterns, and governance frameworks.
• Advise customers on applied AI best practices: prompt engineering and agent orchestration patterns, evaluation and testing strategies for agent systems, confidence calibration, human-in-the-loop design, and continuous learning loops.
• Build reusable technical assets, such as reference architectures, solution blueprints, demonstration environments, and best-practice documentation, that enable the broader field team to position AI solutions.
• Develop and deliver technical collateral: architecture white papers, webinars, blog posts, conference talks, etc. that establish Workato's thought leadership in agentic automation.
• Partner with Product and Engineering to feed field insights back into the platform roadmap, ensuring customer-facing AI capabilities evolve based on real deployment patterns.
• Support global strategic accounts across the US, EMEA, and APAC geographies as needed for critical engagements.
• May require up to 20% global travel.

Agentic CS Platform

• Architect and implement core subsystems of the autonomous CS agent platform, including memory layers, the agent orchestration layer, and the decision trace architecture.
• Design and build a Customer Knowledge Graph as a structured, semantic network that models customers, users, policies, decisions, and operational artifacts as interconnected entities and relationships, enabling queryable representation of contextual states, and policy evaluations for governance, traceability, and decision optimization.
• Implement the confidence-based autonomy framework, including precedent matching, confidence scoring (precedent match, pattern recognition, data completeness, policy clarity), and policy-governed escalation routing.
• Define and design infrastructure architecture to ensure optimal performance and latency.
• Take scalable technology selection decisions.
• Establish evaluation frameworks: define metrics for decision quality, context accuracy, and learning velocity (autonomous threshold increases month over month).

Requirements

Qualifications & Experience

• B.Tech/BE or higher in Computer Science, Engineering, or related field. 
• 15+ years of total relevant experience in enterprise software architecture, design, and implementation.
• 8+ years of hands-on experience with Integration Platforms (MuleSoft, TIBCO, Oracle SOA, webMethods, or similar). Deep familiarity with iPaaS architecture patterns is essential.
• 2+ years of applied AI/Agents engineering experience, specifically in building systems that leverage LLMs and agent frameworks, orchestrating them into production applications.

Applied AI & Agent Architecture (Must-Have)

• Hands-on experience designing and building AI agent systems: multi-step reasoning pipelines, tool-use orchestration, and autonomous execution frameworks.
• Working knowledge of Python agent frameworks such as LangGraph, Claude Agent SDK, or equivalent. LangGraph experience with persisted state and human-in-the-loop patterns is strongly preferred.
• Experience with graph database design and implementation: entity modeling, relationship extraction, graph querying, and using graph structures for contextual retrieval. Neo4j/NetworkX equivalent experience is a plus.
• Practical experience with RAG architectures, vector databases, embedding strategies, and hybrid retrieval (vector + structured + graph).
• Understanding of evaluation and testing for AI systems: building evals, measuring agent quality, confidence calibration, A/B testing of prompts/pipelines, and regression testing for non-deterministic outputs.
• Familiarity with prompt engineering at production scale: structured prompting, chain-of-thought patterns, output parsing, retry/fallback strategies, and prompt versioning.
• Experience with observability for LLM systems: tracing, token/cost monitoring, and latency profiling. Familiarity with Langfuse, LangSmith, Phoenix, or similar tools.
• Experience with MCP (Model Context Protocol) standards for LLM-to-system integration.

Integration & Enterprise Architecture (Must-Have)

• Strong expertise in enterprise integration patterns: event-driven architectures, microservices orchestration, pub/sub messaging, and data synchronization.
• Deep working knowledge of APIs: RESTful, SOAP, webhooks, and data formats (JSON, XML).
• Experience with cloud platforms (AWS, Azure, or GCP) and cloud-native services (Lambda/Functions, DynamoDB, Kafka/Kinesis, S3).
• Familiarity with enterprise applications: Salesforce, ServiceNow, SAP, Workday, NetSuite, or similar. Understanding how these systems participate in agentic workflows.
• Understanding of enterprise security and governance requirements: OAuth, SSO, data residency, SOX compliance, audit trails, and role-based access control.

Nice-to-Have

• Background in Customer Success platforms (Gainsight, ChurnZero) or CRM architecture.
• Prior experience in a customer-facing technical role (Solutions Architect, Field CTO, Technical Account Manager, or Pre-Sales Engineer) at a SaaS or platform company.
• Contributions to open-source AI/agent projects or published technical content in the applied AI space.

General Soft Skills

• Exceptional ability to communicate complex AI and architecture concepts to diverse audiences: from engineering teams to C-level executives: adapting depth and vocabulary to the room.
• Strong consultative instinct: able to listen to a customer's business problem, decompose it into architectural components, and propose a credible path forward in real-time.
• Entrepreneurial mindset with comfort operating in ambiguity: this role spans an internal build and an external advisory function, and requires someone who can context-switch and self-prioritize.
• Collaborative by default: able to work across Product, Engineering, Customer Success, Sales, and Marketing without needing formal authority.
• Excellent written communication: able to produce architecture documents, white papers, and technical briefs that are clear, precise, and persuasive.
• Fast learner who stays current with the rapidly evolving AI agent ecosystem and can distill emerging patterns into practical guidance.

(REQ ID: 2216)

Responsibilities

We are looking for an exceptional Customer Success Manager  to join our growing Commercial Customer Success team. In this role, you will be involved in working with customers to ensure the success and adoption of the Workato Intelligent Automation Platform.  You will also be responsible for the success of an assigned set of customer onboardings in a timely and productive manner.

In this role, you will also be responsible to:

• Develop and maintain strategic business relationships with customers to drive adoption and retention.
• Provide technical Workato product expertise.
• Be the expert in deployment models and governance structures and share best practices from a business and technical perspective.
• Educate People, Marketing, Sales, Customer and Finance Operations on the business value achieved through automating their processes.
• Develop and implement processes and programs to increase usage of the product within the current group and drive cross sell opportunities within other groups.
• Actively coach and mentor the broader CSM team, contributing to overall team development
• Serve as the primary point of escalation when customer issues arise, troubleshoot, and ensure quick resolution.
• Provide quantitative/qualitative analysis to inform team decision-making and product roadmap.
• Become the trusted customer advisor and be the customer advocate within Workato.
• Be available to work Australia Hours 

Requirements

Qualifications / Experience / Technical Skills

• BS or equivalent education
• 5+ years of experience in consulting, customer success management and technical account management. Prior experience as a Account Executive, Senior Member of a large consulting firm or CSM in SaaS/iPaaS preferred
• Experience in Integration and/or business automation.
• Understanding of large complex businesses with many stakeholders.
• Awareness of each of the following roles day to day processes and expertise in several; People (HR), Finance, Marketing, Sales, and Post Sales Customer Organizations.
• Comfortable operating with revenue targets.
• Impressive track record of high customer retention and growth.
• Strong sense of customer empathy and customer-centrism.
• Excellent interpersonal and communication skills.
• Strong problem solving and analytical thinking.
• Entrepreneurial drive and comfort working in ambiguous, quickly-changing environments.
• A passion for and belief in the power of automation to drive business value.
• Prior Experience in Digital Transformation preferred.
• Experience in Integration and/or business automation.

Soft Skills / Personal Characteristics

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations.
• Highly organized, able to manage many projects concurrently.
• Issue management and resolution-focused.
• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact; we want company builders.
• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set.
• Strong written and oral communication skills in English, with the ability to convey complex technical concepts effectively to a non-technical audience.
• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly.
• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge.

Job Req ID: 2658