> Markdown version of [/jobs/ext/2793175-solution-architect-data-ai-specialist-azure-ml-ai-foundry-london-hybrid](https://www.wearedevelopers.com/jobs/ext/2793175-solution-architect-data-ai-specialist-azure-ml-ai-foundry-london-hybrid). 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 - Data & AI Specialist - Azure ML - AI Foundry - London -Hybrid - **Company:** W Talent - **Location:** Greater London, UK - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Microsoft Online Services, Data Governance, Software Design Patterns, High-Level Architecture, Information Lifecycle Management, IT Management, Cloud Services, Azure Machine Learning, Systems Integration, Zachman Framework, IT Architecture, Togaf, Data Analytics, Data Management, Machine Learning Operations, Databricks - **Published:** September 8, 2026 - **Apply:** https://www.collegerecruiter.com/job/2842866372-solution-architect-data--ai-specialist-azure-ml-ai-foundry-london-hybrid ## About the Role Deep domain expertise and demonstrable experience with cloud-based services for data analytics and AI on the Microsoft Cloud (e.g. Azure ML, AI Foundry, Azure Databricks) Experience shaping proof of concepts and evolve designs to productionised solutions with appropriate AI governance incorporating MLOps and LLMOps to manage risk and auditability Experience in IT architecture, including applying architectural principles to solution design with a strong focus on designing modern data analytics platforms and AI solutions. Strong understanding of the data, analytics and AI technology landscape, including the ability to assess existing estates and develop roadmaps focused on reuse, simplification, and rationalisation. Proven ability to translate business strategies, goals, and requirements into coherent architecture designs, solution blueprints, target architectures and technology roadmaps for data analytics. Experience shaping enterprise architecture artefacts such as blueprints, technical options, design patterns, high-level designs, for complex data platforms and analytics use cases. Strong stakeholder engagement skills, including the ability to build and maintain stakeholder maps and communicate architectural outputs effectively. Experience leading a team of architects, focussing on their personal development and training, and supporting them with their own workload. Experience representing architecture at governance forums and advocating for strategic solutions. Experience in IT leadership and management, including the development of highly skilled and engaged teams. Understanding of best practice across the data lifecycle, including data governance, quality, security, and responsible use of data and AI. It would also be beneficial, but not necessary, to have some of the following: Experience working with architectural methodologies and frameworks (e.g. TOGAF, Zachman) and experience in architecture modelling tools Enterprise Architecture skills such as technical reference model development, building block design, applications and role design, systems integration, and evaluation of architectures. ## Related Videos - [Reference Architecture of AI in the Cloud](https://www.wearedevelopers.com/videos/1613-reference-architecture-of-ai-in-the-cloud) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Blueprints for Success: Steering a Global Data & AI Architecture](https://www.wearedevelopers.com/videos/1577-blueprints-for-success-steering-a-global-data-ai-architecture) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)