Lead Artificial Intelligence Engineer

TymblHub; Hyderabad; Presencial; INR 4 200 000 - 6 600 000; Tempo integral

Resumo da oferta

Epam Systems in Hyderabad, India seeks a Senior/Lead AI Engineer to lead GenAI initiatives and enterprise-grade AI deployments. You will design, build, and scale LLMs, multi-agent systems, and RAG pipelines across cloud and backend platforms.

We expect 6+ years in AI/GenAI, strong Python, LangChain, and hands-on experience with enterprise AI frameworks like AgentBricks and AWS Bedrock. Collaboration across teams and governance focus are essential.

Qualificações

• 6+ years in AI/GenAI and enterprise-scale delivery.
• Experience designing and deploying LLMs, GenAI, and multi-agent systems.
• Familiar with AI governance, ethics, and AgentOps.

Responsabilidades

• Build & deploy LLMs, GenAI, and Agentic AI solutions.
• Design and lead multi-agent systems and RAG pipelines.
• Drive CI/CD deployments and integrate AI with cloud/APIs/backends.

Conhecimentos

Python

LangChain

LangGraph

GenAI

Multi-agent systems

CI/CD

AI governance

Ferramentas

AgentBricks

AWS Bedrock

Databricks Mosaic AI

Microsoft Foundry

Gemini Agent Studio

Snowflake Cortex

Azure AI

Docker

Kubernetes

Descrição da oferta de emprego

# Lead Artificial Intelligence EngineerEpam SystemsPosted on October 8, 2026---Experience6 - 10 yrsJob LocationHyderabad, IndiaVacancy1DesignationLead Machine Learning EngineerJob TypeNot specified---## 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 deliveryIf you're passionate about building **scalable AI systems** and shaping the future of enterprise AI, we'd love to connect!