Lead Data Science AI Engineer

Epam Systems; Chennai; Hybrid; INR 2,500,000 - 4,500,000; Full time

Job summary

Epam Systems in India is seeking a Senior/Lead AI Engineer to pioneer GenAI, LLMs and Agentic AI at an enterprise scale, leading architecture and delivery across teams.

You will build and deploy LLMs, design multi-agent systems, architect RAG pipelines, and integrate AI solutions with cloud platforms and backend systems.

The role requires 6+ years in AI/GenAI, strong Python, LangChain/LangGraph, and experience with enterprise frameworks; collaboration across teams is essential.

Qualifications

• 6+ years in AI/GenAI
• Strong Python expertise
• Experience with LangChain, LangGraph
• Hands-on with enterprise AI frameworks like AgentBricks, AWS AgentCore, Microsoft Foundry, Gemini Agent Studio, Snowflake Cortex Agents, Azure AI
• Exposure to Docker, Kubernetes, CI/CD pipelines
• Background in Data Engineering / Data Science is a plus

Responsibilities

• Build & deploy LLMs, GenAI, and Agentic AI solutions
• Design and lead multi-agent systems
• Architect and implement RAG pipelines
• Optimize AI models for performance and scalability
• Integrate AI solutions with cloud platforms, APIs, and backend systems
• Drive CI/CD deployments and AI engineering best practices
• Ensure AI governance, ethics, and AgentOps

Skills

Python

LangChain

LangGraph

Tools

AgentBricks

AWS AgentCore

Microsoft Foundry

Gemini Agent Studio

Snowflake Cortex Agents

Azure AI

Docker

Kubernetes

CI/CD pipelines

Job description

Role & responsibilities

Were Hiring: Senior/Lead AI Engineer

Looking to work on cutting-edge GenAI, LLMs, and Agentic AI systems? This is your chance to build and scale next-gen AI solutions at an enterprise level.

Role: Senior / Lead AI Engineer

Location: Pune, Bangalore, Hyderabad , Chennai, Coimbatore Experience: 6+ years in AI/GenAI

What Youll Do:

• Build & deploy LLMs, GenAI, and Agentic AI solutions
• Design and lead multi-agent systems
• Architect and implement RAG pipelines
• Optimize AI models for performance and scalability
• Integrate AI solutions with cloud platforms, APIs, and backend systems
• Drive CI/CD deployments and AI engineering best practices
• Ensure AI governance, ethics, and AgentOps

Skills Were Looking For:

• Strong Python expertise
• Experience with LangChain, LangGraph
• Hands-on with enterprise AI frameworks like AgentBricks, AWS AgentCore, Microsoft Foundry, Gemini Agent Studio, Snowflake Cortex Agents, Azure AI
• Exposure to AWS Bedrock, Databricks Mosaic AI, Microsoft Foundry, Gemini Enterprise, Snowflake Cortex
• Familiarity with Docker, Kubernetes, CI/CD pipelines

Nice to Have:

• Background in Data Engineering / Data Science
• Experience working on data-driven projects (2+ years)

Soft Skills Matter:

• Strong communication skills
• Ability to collaborate across teams and drive delivery

If you're passionate about building scalable AI systems and shaping the future of enterprise AI, we'd love to connect!