Lead Artificial Intelligence Engineer

EPAM Systems Inc; Hyderabad, Chennai District, Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

EPAM Systems Inc. is seeking a Senior/Lead AI Engineer to build scalable GenAI solutions in an enterprise setting. The role focuses on LLMs, agentic AI, multi-agent orchestration, and data-driven AI pipelines across cloud integrations.

Ideal candidates bring 6+ years in AI/GenAI, strong Python, and hands-on experience with LangChain, LangGraph, and enterprise AI frameworks. You will contribute to robust, scalable AI infrastructures and governance.

Qualifications

• 6+ years in AI/GenAI; enterprise AI exp
• Strong Python and hands-on experience with GenAI frameworks
• Experience with multi-agent systems and RAG pipelines

Responsibilities

• Build and 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 with cloud platforms, APIs, and backends
• 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

Docker

Kubernetes

CI/CD pipelines

Data Engineering

Data Science

Data-driven projects

Communication skills

Team collaboration

Tools

Docker

Kubernetes

CI/CD

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!