{"id":109394,"date":"2026-02-25T15:13:12","date_gmt":"2026-02-25T15:13:12","guid":{"rendered":"https:\/\/www.lafosse.com\/job\/solutions-architect-ai-and-azure-data-platform\/"},"modified":"2026-02-25T15:13:14","modified_gmt":"2026-02-25T15:13:14","slug":"118306","status":"publish","type":"job_listing","link":"https:\/\/www.lafosse.com\/job\/118306\/","title":{"rendered":"Solutions Architect- AI and Azure Data Platform"},"content":{"rendered":"

Title<\/strong>: Solutions Architect- AI and Azure Data Platform
Role Type<\/strong>: Permanent, full-time
Working model<\/strong>: Remote (occasional office travel to either London, Birmingham, or Newcastle)
Salary<\/strong> – Up to £85K
Industry<\/strong> – Healthcare<\/p>\n

Overview<\/strong>:
The Solutions Architect (AI and Azure Data Platform) leads the design and assurance of AI, ML, and Azure Data Platform solutions to support on digital transformation.
The role ensures data and AI services align with organisational objectives and integrate with the wider Enterprise Architecture. It translates business requirements into cohesive data and AI designs, defines the use of Microsoft Azure and related AI technologies, and guides delivery teams through implementation.<\/p>\n

Key Responsibilities<\/strong>
•Define and mature the company’s AI roadmap
•Drive automation and productivity improvements through AI
•Architect scalable EDP solutions
•Provide guidance on data governance, quality and engineering patterns
•Identify and champion real business use cases for AI<\/p>\n

Experience required:<\/strong>
•Extensive experience delivering solutions on the Azure Data Platform (e.g., Synapse, Data Lake, Databricks, Azure ML, Cognitive Services, Power BI).
•Strong AI\/ML architecture expertise, including MLOps, model lifecycle management, and embedding AI into business processes.
•Solid knowledge of modern data engineering (pipelines, streaming, event-driven design, APIs).
•Experience with cloud-native, microservices, and SaaS integration patterns.
•Clear understanding of data governance, security, and responsible AI in regulated settings.
•Proficient in Python, SQL, R, Spark, or similar technologies.
•Background in Agile and DevOps, with CI\/CD for data and AI delivery.
•Effective communicator, translating AI and technical concepts for non-technical stakeholders.<\/p>\n

 <\/strong><\/p>\n

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