> Markdown version of [/jobs/ext/4000229-solution-architect-azure-ai](https://www.wearedevelopers.com/jobs/ext/4000229-solution-architect-azure-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Solution Architect - Azure AI - **Company:** Shareforce Ltd - **Location:** Perivale, UK - **Salary:** £100,000.0 - £110,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Application Performance Management, Automation of Tests, Microsoft Azure, Continuous Integration, Machine Learning, Microsoft Software, Role-Based Access Control, OpenAI, Azure Machine Learning, Systems Integration, Enterprise Search, Microsoft Agent Framework, Cloud Monitoring, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Generative AI, Agentic-AI, Machine Learning Operations, Azure AI, Semantic Kernel, Api Management, Serverless Computing, Container Apps, Key Vault - **Published:** October 29, 2026 - **Apply:** https://www.adzuna.co.uk/jobs/details/5944850291 ## About the Role * 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. ## Description 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.