Lead Data Science AI Engineer

EPAM Systems Inc; Hyderabad, Pune District, Bengaluru; Hybrid; INR 1,500,000 - 3,000,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior/Lead AI Engineer to develop and scale GenAI, LLMs, and agentic AI at an enterprise level. Location options include Pune, Bangalore, Hyderabad, Chennai, and Coimbatore, with 6+ years in AI.

You will build and deploy LLMs, design multi-agent systems, and drive AI governance and CI/CD practices across cloud platforms and backend integrations.

Qualifications

• 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.

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

AgentBricks

AWS AgentCore

Microsoft Foundry

Gemini Agent Studio

Snowflake Cortex Agents

Azure AI

Tools

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!