Azure Generative AI Solution Architect

Overview

In this role you will design and drive production-ready Generative and Agentic AI solutions on Azure and open-source technologies. You will lead client discovery, translate evolving ideas into concrete architectures and delivery plans, and advise on risks and questions to ask. You will embed governance, responsible AI, data governance, safety, monitoring, and lifecycle thinking into every design, and lead technical aspects of RFIs, RFPs, and SOWs. You’ll work closely with clients and cross-functional teams to enable scalable, trusted AI deployments.

Responsibilities

• Architect end-to-end Generative and Agentic AI solutions on Azure and OSS, defining technology choices and trade-offs
• Lead discovery with clients, turning unclear requirements into defined problems, architectures and delivery plans
• Advise customers on risks, questions to ask, and potential blind spots
• Embed AI governance, responsible AI, content safety, data governance, monitoring, and ongoing operation into designs
• Provide technical leadership on RFIs, RFPs, proposals, and SOWs, including approach, scope, risks, and estimation

Key requirements

• Extensive experience delivering Generative AI solutions to production
• Strong expertise with the Azure AI platform
• Experience with open-source AI technologies
• Proven client-facing leadership and advisory skills
• Ability to translate ambiguous requirements into architecture and delivery plans
• Knowledge of AI governance, safety, data governance, and monitoring

• client-facing communication
• stakeholder management
• problem-solving
• Azure AI platform
• Generative AI
• Agentic AI

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