Solutions Architect - AI

Position - Solution Architect Role purpose Define and govern the end-to-end technical architecture, integration model, security controls, and deployment approach for the programme. Key responsibilities • Define the target architecture and reusable platform components. • Establish integration patterns across AI, data, application, identity, security, and enterprise platforms. • Define the boundary between standard platform capabilities and custom-developed AI components. • Review scalability, availability, performance, security, monitoring, and supportability. • Support environment design and deployment across development, testing, and controlled production environments. • Review key technical designs and resolve cross-workstream architectural issues. • Define technical standards and ensure consistency across the three workstreams. • Support architecture documentation, technical assurance, and knowledge transfer. Required experience • Architecture of enterprise AI, data, integration, and cloud solutions. • Azure architecture, security, identity, networking, and deployment practices. • Experience designing production-grade generative AI or conversational AI platforms. • Ability to coordinate multiple parallel technical workstreams. Preferred experience • Databricks, ADLS, Azure AI services, enterprise GIS, and structured-data conversational analytics. • Responsible AI, model governance, observability, and LLM evaluation.