Hiring Sr.AI Engineers at Chennai

Epam Systems; Chennai District; On-site; INR 4,000,000 - 8,000,000; Full time

Job summary

Epam Systems in Chennai and other major Indian tech hubs seeks a Senior/Lead AI Engineer to architect and deliver GenAI and agentic AI solutions. You will lead multi-agent architectures, build RAG platforms, and orchestrate model deployment using Azure Foundry and cloud-native tools.

The role requires 8+ years in AI-enabled software, strong Python skills, LangChain and LangGraph experience, and solid expertise in LLMs, GenAI, and AI governance.

Qualifications

• 8+ years software engineering with strong AI/GenAI expertise.
• Hands-on experience with Python, LangChain, and LangGraph.
• Strong expertise in LLMs, Generative AI, RAG Architecture, and Agentic AI/Multi-Agent Systems.

Responsibilities

• Design, architect, and deploy LLM, GenAI, and Agentic AI solutions.
• Lead multi-agent system design and end-to-end AI architecture.
• Build enterprise-grade Retrieval-Augmented Generation (RAG) platforms.
• Utilize Azure AI Foundry / Microsoft AI Foundry for model orchestration, deployment, and evaluation.
• Optimize AI models for scalability, reliability, and performance.
• Integrate AI solutions with cloud services, APIs, and backend platforms.
• Drive AI development using modern AI SDLC tools such as GitHub Copilot, Claude Code, and Codex.
• Develop and deploy solutions using Docker, Kubernetes, and CI/CD pipelines.
• Collaborate with cross-functional teams and lead technical solutioning.
• Ensure adherence to AgentOps, AI Governance, Security, Responsible AI, and Ethical AI practices.

Skills

8+ years software engineering

Python

LangChain

LangGraph

LLMs / Generative AI

RAG architecture

Agentic AI / Multi-Agent Systems

Azure AI Foundry / Microsoft AI Foundy

Docker

Kubernetes

CI/CD

Cloud Platforms

API Integration

Tools

Docker

Kubernetes

CI/CD

Job description

Job description

Role: Senior / Lead AI Engineer
Experience: 5+ Years
Domain: AI / GenAI / Agentic AI
Location: Chennai /Bengaluru/Pune/Hyderabad/ Gurgaon

Job Description

We are seeking an experienced Lead AI Engineer / GenAI Specialist to and deliver next-generation LLM, RAG, and Agentic AI solutions. The ideal candidate will have deep expertise in building enterprise-scale AI systems, multi-agent architectures, and cloud-native GenAI platforms.

Key Responsibilities

• Design, architect, and deploy LLM, GenAI, and Agentic AI solutions.
• Lead multi-agent system design and end-to-end AI architecture.
• Build enterprise-grade Retrieval-Augmented Generation (RAG) platforms.
• Utilize Azure AI Foundry / Microsoft AI Foundry for model orchestration, deployment, and evaluation.
• Optimize AI models for scalability, reliability, and performance.
• Integrate AI solutions with cloud services, APIs, and backend platforms.
• Drive AI development using modern AI SDLC tools such as GitHub Copilot, Claude Code, and Codex.
• Develop and deploy solutions using Docker, Kubernetes, and CI/CD pipelines.
• Collaborate with cross-functional teams and lead technical solutioning.
• Ensure adherence to AgentOps, AI Governance, Security, Responsible AI, and Ethical AI practices.

Mandatory Skills

• 8+ years of software engineering experience with strong AI/GenAI expertise.
• Hands-on experience with Python, LangChain, and LangGraph.
• Strong expertise in LLMs, Generative AI, RAG Architecture, and Agentic AI/Multi-Agent Systems.
• Experience with Azure AI Foundry / Microsoft AI Foundry.
• Proficiency in Docker, Kubernetes, CI/CD, Cloud Platforms, and API Integration.

Preferred Enterprise AI Platforms

Experience with one or more of the following:

• Azure AI Foundry / Microsoft AI Foundry
• AWS Bedrock / AgentCore / AgentBricks
• Databricks Mosaic AI
• Gemini Enterprise Agent Platform / Agent Studio
• Snowflake Cortex Agents

Preferred Qualifications

• Background in Data Engineering, Data Science, or Data-focused Software Engineering.
• Strong communication and stakeholder management skills.
• Experience mentoring teams and leading end-to-end solution delivery.

Keywords

GenAI, LLM, RAG, Agentic AI, Multi-Agent Systems, LangChain, LangGraph, Python, Azure AI Foundry, Microsoft AI Foundry, AWS Bedrock, Databricks Mosaic AI, Snowflake Cortex Agents, Kubernetes, Docker, CI/CD, AI Engineering, Lead AI Engineer, AI Architect.