Chennai, Tamil Nadu

Job Summary

Develop complex Agentic AI solutions in an Agile environment as part of a global team of engineers, architects, designers, and product experts.

- Design, develop, and deploy AI agents, and intelligent workflows using Microsoft Copilot Studio, Claude APIs, and enterprise AI platforms.
- Conduct and lead technical design discussions across multiple technology disciplines to propose viable AI and automation solutions to complex business problems.
- Develop and build strong relationships across the business to effectively influence and accomplish strategic objectives.
- Assist on-shore and off-shore teams with issues requiring expertise in AI agent orchestration, prompt engineering, enterprise integrations, and cloud-native architecture. Mentor and develop new or less experienced team members.
- Liaise between software engineering teams and production support to facilitate operational readiness. Provide required support for escalated issues and AI solution defects.
- Work with engineering and testing teams to coordinate non-production deployments and AI solution validation activities.
- Partner with Release Management teams for production deployments of AI-powered capabilities.
- Partner with SaaS platform providers and AI vendors to deliver program capabilities.
- Coordinate enterprise changes and integrations impacting AI agents, knowledge sources, APIs, and enterprise systems.
- Oversee AI governance, Responsible AI practices, security reviews, and compliance processes.
- Analyze application logs and telemetry (Splunk, CloudWatch, AppDynamics, ArgoCD, Copilot analytics, AI monitoring tools) to identify root causes and optimize AI solution performance.
- Create monitoring, observability, alerts, and operational dashboards for AI solutions.
- Build and maintain deployment, release, and governance processes for AI platforms and agentic solutions.
- Design and implement Retrieval-Augmented Generation (RAG) architectures and integrate enterprise knowledge sources.
- Develop prompt engineering strategies, agent orchestration workflows, and human-in-the-loop business processes.




- Evaluate and optimize AI agent performance, response quality, accuracy, and adoption metrics.

Key Responsibilities Bachelor’s degree in computer science, Engineering, Artificial Intelligence, or related field.
- 5+ years of professional software engineering or enterprise technology experience.
- 2+ years of experience building AI-powered applications, intelligent automation, or conversational AI solutions.
- Experience with Agentic AI platforms including AWS Agentcore, Bedrock, Microsoft Copilot Studio, Claude, or similar LLM-based platforms.
- Experience with enterprise integration technologies including Microsoft Graph API, REST APIs, Dataverse, SharePoint, Teams, and SaaS platforms.
- Experience designing and implementing Retrieval-Augmented Generation (RAG) on postgres solutions and knowledge-grounded AI experiences.
- Experience with prompt engineering, agent orchestration, AI workflows, function calling, and enterprise AI governance.
- Experience with secure software development practices, Responsible AI principles, and cloud security standards.
- Experience leveraging AI-assisted development tools such as GitHub Copilot, Claude code (building skills, plugin, MCP), or equivalent AI coding assistants.
- Experience with cloud technologies including AWS, Docker, EKS, Lambda, SNS/SQS, and cloud-native architectures.
- Experience with source control and development workflows including GitHub, BitBucket, Git.
- Experience with logging, monitoring, and observability tools such as AppDynamics, ArgoCD, CloudWatch, Splunk, and enterprise AI monitoring solutions.
- Experience evaluating AI solution quality, automation effectiveness, and operational performance.
- Familiarity with vector databases, semantic search,



knowledge management platforms, and enterprise AI architectures.
- Proven ability to convert ideas into Agentic solution and deliver results in a fast-paced Agile workplace.
- Proven track record of developing and supporting large-scale business-critical platforms and enterprise solutions.
- Excellent analytical and problem-solving skills with the ability to evaluate AI outputs, identify risks, and recommend improvements.
- Must be comfortable in a fast-paced, evolving technology landscape.
- Strong presentation, communication, and collaboration skills with the ability to create and maintain technical documentation and architectural artifacts.

Preferred Qualifications
- Experience with Microsoft Copilot Studio, Claude, and AWS Bedrock.
- Experience implementing multi-agent orchestration and agentic workflow patterns.
- Experience with Python, ReactJS, LangChain, Semantic Kernel, MCP (Model Context Protocol), or AI orchestration frameworks.

Skill Requirements Insurance, Financial Services, Healthcare, or other highly regulated industry experience.
- Experience establishing enterprise AI governance, AI Centers of Excellence, or Copilot adoption programs.
- Experience building employee productivity intelligent assistants, or enterprise knowledge agents.
- Microsoft AI-102, PL-400, PL-600, AWS AI Practitioner, or equivalent AI/Cloud certifications is a plus.

Other Requirements
- Insurance, Financial Services, Healthcare, or other highly regulated industry experience.
- Experience establishing enterprise AI governance, AI Centers of Excellence, or Copilot adoption programs.
- Experience building employee productivity intelligent assistants, or enterprise knowledge agents.
- Microsoft AI-102, PL-400, PL-600, AWS AI Practitioner, or equivalent AI/Cloud certifications is a plus.

#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-#body.unify div.unify-button-container .unify-apply-now: focus, #body.unify div.unify-button-container .unify-apply-

📌 Sr Tech Lead-GenAI - VectorDBand PostgreSQL (Chennai)
🏢 HCLTech
📍 Chennai