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. . 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. . At Avanade, we advance the world through the power of people and Microsoft. Join us to shape your skills and the future with bold ideas and innovative solutions. Our partnership with Microsoft and Accenture empowers you to unlock your full potential. Working at Avanade offers the chance to build a career path that suits your skills and interests and the freedom to be your authentic self. We are committed to your growth, well-being, and success. This is where passion meets opportunity, technology meets humanity, and every challenge is a chance to make a genuine impact on colleagues, clients, and communities. Together, we do what matters.

Lead AI Engineer / AI Solution Architect – Azure AI Foundry.

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