Microsoft Foundry Lead

9033 AVANADE INDIA PVT LIMITED Company; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Avanade India is seeking a Microsoft Foundry Lead to drive hands-on technical delivery of generative and agentic AI projects built on Microsoft Foundry. You will lead engineering teams through design, build, and deployment while ensuring quality and on-time delivery.

The role requires 8–12 years in AI/ML or software engineering with recent hands-on Foundry/Azure AI experience, strong Python skills, and architectural acumen. Bengaluru-based leadership opportunity.

Qualifications

• Hands-on senior technical leader for AI/ML with delivery focus.
• Strong experience delivering on Microsoft Foundry or Azure AI Foundry/Azure AI Studio.
• Proven mentoring of AI engineers and cross-functional collaboration.

Responsibilities

• Own technical delivery of Microsoft Foundry engagements from design to go-live.
• Lead and mentor AI engineers, ensure code quality and best practices.
• Translate architecture into detailed design and implementation plans.
• Drive CI/CD, testing, performance optimization, and governance guardrails.

Skills

AI leadership

Python

Azure Foundry

Tools

Azure OpenAI Service

LangChain

Semantic Kernel

Job description

Role Summary

Avanade India’s Artificial Intelligence practice is looking for a Microsoft Foundry Lead to drive the technical delivery of generative AI and agentic AI projects and programs built on Microsoft Foundry. This is a hands‑on technical leadership role focused on execution — leading engineering teams through design, build, and deployment of AI solutions, ensuring engineering quality and delivery timelines, and acting as the go‑to technical authority on live AI engagements within the practice.

Key Responsibilities

• Own technical delivery of Microsoft Foundry engagements — from solution design through build, testing, deployment, and go‑live — across one or more concurrent projects.
• Lead and mentor a team of AI engineers, guiding design decisions, code quality, and best practices on Microsoft Foundry‑based builds.
• Translate solution architecture into detailed technical design and implementation plans, working closely with Architects and Project/Program Managers.
• Build and review Microsoft Foundry solutions: model catalog integration, prompt flow/orchestration, agent design, and RAG pipelines (Azure AI Search, vector indexing, grounding data).
• Implement multi‑agent orchestration patterns using frameworks such as Semantic Kernel, AutoGen, or LangChain/LangGraph.
• Drive engineering standards — coding practices, CI/CD, testing, and performance optimization — across the delivery team.
• Apply Responsible AI, content safety, and governance guardrails to solutions during build and deployment.
• Troubleshoot and resolve complex technical issues during build and post‑go‑live stabilization; own production support escalations where needed.
• Track and report delivery progress, risks, and technical dependencies to project/program leadership.
• Support estimation and technical inputs for ongoing and upcoming project phases within the practice.
• Contribute to reusable delivery accelerators, patterns, and best practices for the AI Engineering job family.

8–12 years in AI/ML or software engineering roles, with strong recent hands‑on experience delivering solutions on Microsoft Foundry (or Azure AI Foundry/Azure AI Studio).

• Hands‑on experience with Azure OpenAI Service, Microsoft Foundry model catalog, prompt engineering/prompt flow, and agent design.
• Practical experience building RAG solutions — vector databases/embeddings, Azure AI Search, and enterprise data grounding patterns.
• Experience with agentic AI implementation — multi‑agent orchestration, tool/function calling, and frameworks such as Semantic Kernel, AutoGen, or LangChain/LangGraph.
• Working knowledge of the broader Azure data and AI ecosystem: Azure Machine Learning, Azure Cognitive Services, and data pipelines (Azure Data Factory/Synapse or Databricks) feeding AI solutions.
• Understanding of MLOps/LLMOps practices — model deployment, versioning, monitoring, and CI/CD for AI solutions.
• Awareness of Responsible AI principles, content safety/filtering, and AI governance in enterprise environments.
• Strong programming skills in Python; familiarity with REST APIs and integration patterns for enterprise applications.
• Proven experience leading a delivery team — technical mentoring, code/design reviews, and hands‑on problem‑solving under project timelines.
• Comfortable working directly with project/program managers and client technical teams during delivery.

Preferred / Good to Have

• Microsoft certifications: Azure AI Engineer Associate (AI‑102) or other Generative AI‑related Microsoft credentials.
• Experience with Copilot Studio or Microsoft 365 Copilot extensibility.
• Exposure to CI/CD and DevOps practices for AI/data platforms (Azure DevOps, GitHub Actions).
• Experience working across multiple industry domains (manufacturing, BFSI, consumer goods, energy, healthcare, or others).
• Experience working in a global delivery / SI environment with distributed teams across geographies.

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.