Azure AI Foundry Architect

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 Data & AI practice is looking for an Azure AI Foundry Architect to drive presales solutioning and technical architecture for generative AI and agentic AI solutions built on Azure AI Foundry, stepping into delivery leadership as engagements require. This is a client-facing role for someone who enjoys shaping opportunities as much as solving hard architecture problems — from client workshops and proposal-stage solutioning through to guiding implementation teams when needed.

Key Responsibilities

• Lead presales solutioning for Azure AI Foundry opportunities — architecture proposals, effort estimation, solution demos, and client workshops — partnering with account and practice leadership on pursuits.

• Design end-to-end generative AI and agentic AI solution architectures on Azure AI Foundry, including model catalog selection, Azure OpenAI Service integration, prompt flow/orchestration, and agent design.

• Architect Retrieval-Augmented Generation (RAG) solutions — grounding data pipelines, vector search/indexing (Azure AI Search), and integration with enterprise data sources.

• Define AI platform strategy, target-state architecture, and adoption roadmaps in collaboration with client stakeholders.

• Step into delivery as needed to provide technical leadership on active engagements: solution design, architecture governance, design reviews, performance/cost optimization, and production readiness.

• Establish architecture standards for Responsible AI, content safety, model governance, security, and observability across AI solutions.

• Guide multi-agent orchestration design using frameworks such as Semantic Kernel, AutoGen, or LangChain/LangGraph where applicable.

• Act as a trusted technical advisor to client stakeholders, translating business requirements into scalable, well-governed AI architectures.

• Mentor AI/data engineers and architects on project teams; contribute to reusable accelerators and IP for the practice.

• Stay current with the Azure AI Foundry roadmap and broader generative AI ecosystem, bringing new capabilities into client proposals and solutions.