Lead Generative AI / RAG Architect

Job Summary

Define architecture and standards for enterprise generative-AI and RAG solutions across our client portfolio, and lead a team of GenAI engineers.

Responsibilities

• Architect secure, scalable RAG and LLM platforms
• Define standards for retrieval, evaluation, guardrails and LLMOps
• Lead and mentor a team of GenAI engineers
• Review designs and code for quality and security
• Advise clients on model and platform selection
• Track the AI landscape and evolve our reference architectures

Requirements

• 6-10 years of software or data engineering experience, including 2+ years leading LLM/GenAI work
• Deep expertise in retrieval, embeddings, vector search and evaluation
• Experience on at least two of Amazon Bedrock, Azure OpenAI / AI Foundry and Vertex AI
• Team leadership experience

Nice to have

• Fine-tuning experience
• Enterprise search background
• AI governance knowledge (EU AI Act, ISO/IEC 42001)

Tech stack

• Python
• Amazon Bedrock
• Azure AI Foundry
• Vertex AI
• LlamaIndex
• OpenSearch
• Azure AI Search
• pgvector
• Langfuse
• Kubernetes

What we offer

• A permanent, full-time role
• Enterprise projects for clients in the US and worldwide
• Hands-on work across AI, cloud and modern engineering
• A friendly, collaborative team
• Clear paths for professional growth

Location

Hyderabad

Work authorization

This role is based in Hyderabad. Applicants must be legally eligible to work in India.