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 contemporary 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.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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