Lead AI Engineer / AI Solution Architect – Azure AI Foundry

Lead AI Engineer / AI Solution Architect – Azure AI Foundry

Experience

8 – 10 years

Level

Lead / Architect

Location

Delhi / Mumbai / Bangalore (India)

Employment Type

Full-time

Primary Skills

Azure AI Foundry, RAG, AI Agents, AI / ML

Role Summary

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.

Key Responsibilities

• 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.

• Define evaluation, observability, and monitoring strategy for AI systems in production (quality, drift, latency, cost, safety).

• Lead, mentor, and grow a team of AI engineers; set technical direction, review designs, and ensure delivery quality.

• Partner with client CXO / senior stakeholders in solutioning, discovery workshops, proposals, estimations, and technical presales.

• Evaluate emerging AI technologies and drive POCs that convert into scalable offerings.

Required Skills & Experience

• 8 – 10 years of total experience in software / data / AI engineering, with at least 3 – 4 years architecting and delivering Generative AI solutions in production.

• Deep expertise in Azure AI Foundry (model catalog, Agent Service, evaluations, tracing, safety, governance) and the wider Azure AI stack.

• Demonstrated experience architecting large-scale RAG systems (hybrid retrieval, graph / agentic RAG, multimodal, multi-tenant, access-controlled).

• Demonstrated experience architecting multi-agent systems with Azure AI Foundry and frameworks such as Semantic Kernel, LangGraph, or AutoGen.

• Strong AI/ML foundation: classical ML, deep learning, NLP / LLMs, fine-tuning, evaluation, and MLOps on Azure Machine Learning or equivalent.

• Strong Azure architecture skills: networking (VNet, Private Link), identity (Entra ID, managed identity), AKS / Container Apps, API Management, Cosmos DB, Key Vault, Monitor.

• Expert-level Python and strong software architecture / design-pattern knowledge; experience with CI/CD and Infrastructure as Code.

• Track record of leading teams, owning delivery outcomes, and managing technical risk.

• Excellent client-facing skills, including presales, proposal writing, and executive presentations.

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Good to Have

• Azure certifications (AI-102, DP-100, AZ-305, or AZ-400).

• Experience with fine-tuning (LoRA / PEFT), distillation, and small language models.

• Experience in Microsoft Fabric, Databricks, or modern data platform architecture.

• Experience in regulated industries (BFSI, healthcare, public sector) and associated compliance needs.

• Published work, patents, conference talks, or community contributions in AI.

Soft Skills

• Strategic thinking with the ability to connect AI capabilities to business value.

• Strong leadership, mentoring, and cross-functional collaboration.

• Clear and persuasive communication with both technical and executive audiences.

Education

B.E. / B.Tech / M.E. / M.Tech / MCA / M.Sc in Computer Science, Data Science, AI/ML, or a related field. Advanced degree preferred.

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