Microsoft Foundry SME

Avanade; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Avanade India is seeking a Microsoft Foundry SME to serve as a deep technical specialist on generative and agentic AI projects built on Microsoft Foundry. This hands-on, individual-contributor role focuses on owning the technical build—from design to implementation—and guiding the delivery team's complex decisions.

You will work across model catalogs, prompt flows, and RAG pipelines, applying best practices in responsible AI and governance while collaborating with technical leads and client

Qualifications

• 6–9 years in AI/ML or software engineering roles.
• Hands-on experience with Microsoft Foundry (or Azure AI Foundry/Azure AI Studio).
• Practical experience with RAG solutions—vector databases/embeddings, Azure AI Search, and data grounding.
• Working knowledge of agentic AI—multi-agent orchestration and tool calls.
• Familiarity with Azure data/AI ecosystem and MLOps practices.

Responsibilities

• Design and build components of Microsoft Foundry solutions: model catalog integration, prompt flow/orchestration, agent design, and RAG pipelines.
• Implement multi-agent orchestration patterns using Semantic Kernel, AutoGen, or LangChain/LangGraph.
• Serve as the technical specialist on Foundry within project teams, resolving complex issues.
• Support solution design, technical estimation, and implementation planning.
• Write production-quality code and ensure testing and CI/CD standards.
• Apply Responsible AI and governance guardrails during build and deployment.
• Guide junior engineers on Foundry implementation patterns and best practices.

Skills

AI/ML hands-on experience

Python programming

REST APIs

CI/CD for AI

Multi-agent orchestration

Prompt engineering

MLOps

Responsible AI

Tools

Azure OpenAI Service

Microsoft Foundry model catalog

Semantic Kernel

AutoGen

LangChain/LangGraph

Azure Data Factory/Synapse

Job description

Role Summary

Avanade India’s Artificial Intelligence practice is looking for a Microsoft Foundry SME to be a deep technical specialist on generative AI and agentic AI projects built on Microsoft Foundry. This is a hands‑on, individual‑contributor role for someone who wants to own the technical build — designing and implementing AI components, solving complex implementation challenges, and providing specialist guidance to the wider delivery team.

Role Summary

Avanade India’s Artificial Intelligence practice is looking for a Microsoft Foundry SME to be a deep technical specialist on generative AI and agentic AI projects built on Microsoft Foundry. This is a hands‑on, individual‑contributor role for someone who wants to own the technical build — designing and implementing AI components, solving complex implementation challenges, and providing specialist guidance to the wider delivery team.

Key Responsibilities

• Design and build components of 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.
• Act as the technical specialist/go‑to resource on Microsoft Foundry within project teams, resolving complex implementation issues and edge cases.
• Support the Microsoft Foundry Lead/Architect in solution design, technical estimation, and implementation planning.
• Write and review production‑quality code; ensure adherence to engineering best practices, testing, and CI/CD standards.
• Apply Responsible AI, content safety, and governance guardrails during build and deployment.
• Support post‑go‑live stabilization and production issue troubleshooting for deployed AI solutions.
• Guide junior engineers on Microsoft Foundry implementation patterns and best practices, without formal team‑lead accountability.
• Contribute to reusable code assets, accelerators, and technical documentation for the AI Engineering job family.
• Stay current with the Microsoft Foundry roadmap and broader generative AI ecosystem, evaluating new capabilities for project use.

Qualifications

• 6–9 years in AI/ML or software engineering roles, with strong recent hands‑on experience building 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.
• Working experience with agentic AI implementation — multi‑agent orchestration, tool/function calling, and frameworks such as Semantic Kernel, AutoGen, or LangChain/LangGraph.
• Familiarity with 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.
• Working knowledge of MLOps/LLMOps practices — model deployment, versioning, monitoring, and CI/CD for AI solutions.
• Awareness of Responsible AI principles and content safety/filtering practices.
• Strong programming skills in Python; familiarity with REST APIs and integration patterns for enterprise applications.
• Comfortable working directly with technical leads 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.