Microsoft Foundry Lead

Avanade Inc.; Bengaluru; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

Avanade India’s AI practice is seeking a Microsoft Foundry Lead to drive the hands-on technical delivery of generative AI projects. You will lead engineering teams from design to deployment, ensuring quality and timely delivery on Microsoft Foundry-based builds.

The role focuses on execution, mentoring engineers, and defining implementation plans, with a strong emphasis on Responsible AI and governance in production environments.

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.

Job description

Avanade is the world’s leading Microsoft expert, helping more than 7,000 organizations modernize securely and scale AI using Microsoft technology, faster. Founded by Microsoft and Accenture, and operating as Microsoft’s Client Zero, Avanade brings deep expertise and proven delivery to simplify complexity, accelerate innovation, and deliver measurable results. Together with Accenture, Avanade combines global scale with expertise in AI, cloud, data, cybersecurity, and ERP to design solutions that put people first. With 60,000 Microsoft professionals worldwide, 165,000 certifications, and the largest community of Microsoft MVPs, Avanade has spent more than 25 years helping organizations unlock the full potential of people and technology to create lasting impact for clients, employees, and communities. 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.

Equal Employment Opportunity Statement

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