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, Lang Graph, or Auto Gen.
- 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 solid 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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📌 Lead AI Engineer / AI Solution Architect – Azure AI Foundry (India)
🏢 Avanade
📍 India