GenAI Technical Lead - LLM / GenAI

Work Location : Chennai

Work Mode : Hybrid

Notice: Immediate to 30 days

Experience : 10 - 18 years

Role Summary

• We are looking for a GenAI Tech Lead to drive the architecture, design, and delivery of our Generative AI initiatives.
• This role combines hands-on engineering with technical leadership: you will lead a small squad of GenAI Engineers and Data Engineers, define standards and best practices, and partner with product and business stakeholders to deliver production-grade GenAI solutions.
• You will own the end-to-end GenAI stack: data and vector stores, RAG and agents, orchestration, and integration into enterprise channels (web apps, APIs, Teams/Copilots, etc.).

Key Responsibilities

Architecture & Ownership

• Define end-to-end architecture for GenAI solutions (ingestion embeddings/vector store RAG/ agents APIs/UI).
• Select appropriate models, vector databases, and orchestration frameworks based on use case, security, and cost.
• Create reference architectures, reusable components, and templates for common GenAI patterns (chat, copilot, summarization, document Q&A, workflows).

Team Leadership & Mentoring

• Lead and mentor a cross-functional team (GenAI Engineers, Data Engineers, full-stack Engineers).
• Review designs and code, set engineering standards for GenAI, RAG, prompt design, and data pipelines.
• Coach the team on GenAI patterns, evaluation, and governance.

Required Qualifications

• Bachelors/master’s in computer science, Engineering, AI/ML, or related field.

• 10+ years

  in Software / Data / ML engineering, including

  3+ years in AI/ML

  , and

  2+ years specifically in LLM / GenAI projects.

• Proven experience as a

  Tech Lead / Architect leading engineering teams

  or projects.
• Deep hands-on experience with:

  LLM APIs (OpenAI, Azure OpenAI, or equivalent).

• RAG architectures, embeddings, and vector databases (e.g., Pinecone, FAISS, Chroma, Qdrant, Azure AI Search

  ).

• One or more orchestration frameworks (LangChain, Semantic Kernel, Microsoft Agent Framework, LangGraph, Copilot Studio, etc.)..

• Strong

  Python

  skills (plus experience with Node.js / C# is a bonus).
• Experience building cloud-based backend services (

  FastAPI, Flask, .NET, Node

  ) and integrating with enterprise systems.
• Excellent communication skills and a track record of making architecture decisions and driving them to execution.
• Experience in Azure or AWS or GCP (GenAI Services)

Nice to Have

• Experience building enterprise copilots / bots (Teams, M365 Copilot, ServiceNow, Salesforce, etc.).
• Exposure to on-prem / hybrid GenAI or edge/on-device models.
• Experience with Lakehouse / data mesh / Fabric /

  Databricks

  style architectures.
• Public speaking, client demos, or internal evangelism experience.