AI Solution Architect - Enterprise Azure AI Architecture

About the role

A global company with a large international footprint in over 30 countries is hiring an AI Solution Architect to own enterprise AI architecture on the Microsoft Azure stack, reporting to senior data and AI leadership. This is an architecture and governance seat: you set the standards and reference designs and ensure the AI solutions built by other teams meet them.

Key responsibilities

• Define and govern the enterprise AI architecture, including principles, guardrails, reference designs and reusable patterns.
• Architect machine learning, generative AI, RAG, copilots and multi-agent solutions on Azure AI Foundry, Azure OpenAI, Azure Machine Learning, Azure AI Search and Microsoft Fabric.
• Set MLOps and LLMOps standards covering evaluation, model and prompt lifecycle, CI/CD and monitoring.
• Define secure patterns for RAG and AI agents, including identity, access control, audit and containment.
• Lead architecture reviews for priority AI initiatives and guide build-versus-buy and vendor decisions.
• Work with AI engineers and platform teams so designs stay practical to build.
• Build architecture capability across multiple teams and regions.

Required profile

• 10+ years in solution or enterprise architecture, with significant architecture responsibility for AI, ML or advanced analytics.
• Bachelor's degree in computer science, AI, data science, engineering or a related field.
• Experience in AI security and responsible AI: privacy, identity, threat modelling and content safety.
• A track record of architecture assurance and design governance across several delivery teams.
• The ability to influence senior stakeholders across business units.
• Advantageous: experience in a large, multi-region organisation; TOGAF or equivalent; Copilot Studio, Power Platform and Fabric; AI observability and AI security testing.

Required skills

• Hands-on Azure AI expertise across Foundry, Azure OpenAI, Azure Machine Learning, AI Search and Azure data platforms.
• A Microsoft certification such as Azure Solutions Architect Expert, Azure AI Engineer Associate or Azure Data Scientist Associate.
• Working knowledge of generative AI, RAG, vector search and agentic architecture.