Lead AI Engineer / AI Solution Architect – Azure AI Foundry

About the role

We are looking for a Lead AI Engineer / AI Solution Architect to define and drive the technical vision for enterprise Generative AI and agentic AI solutions on Azure AI Foundry. You will architect end-to-end RAG and multi-agent platforms, set engineering standards, lead and grow a team of AI engineers, and partner with senior client stakeholders to deliver measurable business outcomes.

What you'll do

• Own the end-to-end architecture of enterprise GenAI platforms on Azure AI Foundry, covering RAG, multi-agent systems, ML pipelines, security, and integration
• Define reference architectures, reusable accelerators, and best practices for RAG, agents, evaluation, and LLMOps across engagements
• Lead the design of complex multi-agent workflows with orchestration, memory, human-in-the-loop, and enterprise tool / MCP integration
• Establish governance for responsible AI: guardrails, content safety, data privacy, compliance, model risk, and audit
• Drive model strategy: selection among Azure OpenAI and open-source models, fine-tuning, cost-performance trade-offs, and capacity planning

What you need

• 8–10 yrs of experience
• Azure
• Machine learning
• Networking
• LLMs
• Python
• Deep learning
• MCA or B.Tech or B.E. or M.Tech or M.Sc

Good to have

• Databricks
• IPR
• NLP
• MLOps
• Data privacy
• CI/CD