Lead Ai Engineer

Seeking a
hands-on AI Engineer Lead
to lead engineering and production implementation of enterprise
Generative AI solutions on Microsoft Azure. The role will translate AI architecture into scalable, secure, production-ready solutions while providing technical leadership to the engineering team.
Key Responsibilities
Lead end-to-end AI engineering from design and development through testing and production deployment.
Build
LLM, RAG and Agentic AI
solutions using Microsoft Foundry, Azure OpenAI and Azure AI Search.
Develop RAG pipelines covering chunking, embeddings, vector/hybrid search, retrieval, reranking and grounding.
Build AI agents, tool/function calling, structured outputs and enterprise API integrations.
Lead code/design reviews, troubleshoot complex technical issues and ensure production readiness.
Mentor AI engineers and convert architecture into executable engineering tasks.
Work closely with AI Architects, Product Owners, business, data, cloud and security teams.
Required Experience
8+ years
of software engineering/application development experience.
3+ years
of Azure/cloud-native development experience.
Strong hands-on experience delivering
GenAI/LLM, RAG and Agentic AI solutions .
Experience leading engineering teams and taking AI solutions from
PoC to enterprise production .
Must-Have Skills
GenAI / LLMs, RAG and Agentic AI
Microsoft Foundry, Azure OpenAI, Azure AI Search
Python and REST APIs
Prompt engineering and embeddings
Vector/hybrid search and retrieval/reranking
Function/tool calling and structured outputs
LLM evaluation, grounding and hallucination mitigation
Guardrails/content safety and context/token management
Production-grade cloud application development and troubleshooting
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