Azure AI Solution Architect - Global Microsoft Partner

We’re looking for an experienced Azure AI Architect to lead the design and delivery of secure, scalable and responsible AI solutions across enterprise and public-sector programmes.

You’ll shape Azure-based solutions from discovery through to production, combining architectural leadership with hands-on expertise. You’ll advise clients on the appropriate use of Generative AI, agentic AI and machine learning while ensuring solutions are secure, supportable and commercially sustainable., * Own end-to-end AI architectures within the Microsoft Azure ecosystem.

• Design Generative AI, RAG, agentic and machine-learning solutions using Azure services.
• Translate business requirements into solution designs, estimates and delivery roadmaps.
• Define reusable Azure AI patterns, reference architectures and engineering standards.
• Embed Azure security, governance, Responsible AI and cost controls throughout the solution lifecycle.
• Provide architectural assurance and technical leadership across delivery teams.
• Build prototypes and reference implementations to validate key decisions.
• Support client discovery, pre-sales and technical proposals.
• Advise stakeholders on feasibility, trade-offs, risks, performance and cost.
• Mentor AI engineers and consultants.

• Significant enterprise technology experience, including hands-on delivery of production AI or machine-learning systems on Azure.
• Strong experience with Microsoft technologies such as, Foundry, Azure OpenAI, Azure AI Search and Azure Machine Learning.
• Experience designing LLM solutions using RAG, tool use, structured outputs and agent orchestration.
• Practical knowledge of Semantic Kernel, Microsoft Agent Framework or a comparable framework.
• Experience integrating AI workloads with Azure Functions, Container Apps, API Management, Service Bus or Event Grid.
• A strong grounding in classical machine learning and model lifecycle management.
• The judgement to select between Generative AI, classical ML and non-AI approaches.
• Strong knowledge of Entra ID, managed identities, RBAC, Key Vault, private networking and data protection.
• Experience with Azure DevOps and MLOps or LLMOps, including CI/CD, automated testing, evaluation and lifecycle management.
• Knowledge of Azure Monitor, Application Insights and production observability.
• Understanding of Responsible AI, content safety, governance and regulatory risk.
• Consulting experience and strong senior stakeholder communication skills.
• Experience guiding or mentoring technical delivery teams.
• Relevant Microsoft Azure architecture, AI or data certifications.

You don’t need to meet every requirement. We’re particularly interested in candidates who combine strong architectural judgement with practical AI delivery experience.

• Leadership of enterprise-scale AI programmes.
• Hands-on work across Generative AI, agents and machine learning.
• Exposure to secure public-sector and regulated environments.
• The opportunity to shape AI standards, governance and reusable solutions.
• A collaborative consulting environment with mentoring and career-development opportunities.
• Candidates must have the ongoing right to work in the United Kingdom without requiring visa sponsorship now or in the future.