AI Engineer Engagement: Micro UI / Domain Platform Modernization Role Overview We are seeking an experienced AI Engineer to join a platform engineering initiative focused on building Micro UIs — independently deployable, domain-scoped front ends — across a broader enterprise platform. The role blends applied AI engineering (Azure AI Foundry, agentic development patterns) with modern full-stack delivery (.NET, Angular) and backend document/data intelligence work (Databricks, Snowflake). This is a seasoned-resource engagement: candidates should have prior, demonstrable experience delivering this type of work, not solely theoretical familiarity. Key Responsibilities • Design and build AI-assisted features and agentic workflows on Azure AI Foundry. • Develop domain-specific Micro UI applications using Angular, integrated with .NET backend services. • Implement document intelligence pipelines to extract, process, and structure data from unstructured documents. • Work with Data bricks and Snowflake for backend data processing, storage, and retrieval supporting AI features. • Apply agentic coding practices and AI-assisted development tooling as a core part of the delivery workflow (target: 60%+ of code AI-generated, with rigorous human review). • Collaborate with architects, business analysts, and domain teams to align each Micro UI to its specific domain's access patterns and requirements. • Contribute to platform engineering standards ensuring Micro UIs are consistent, secure, and maintainable across domains. Required Skills & Experience • Hands-on experience with Azure AI Foundry (or direct equivalent Azure AI/ML tooling). • .NET backend development experience. • Angular front-end development experience. • Experience working with backend document processing/data platforms — Databricks and Snowflake. • Demonstrated experience with agentic AI development and AI-assisted ('agentic') coding workflows, with a track record of significant AI-generated code (60%+) in production delivery. • Prior experience building Micro UI / micro-frontend architectures, ideally with domain-based access segmentation. • Strong communication skills; able to clearly articulate prior relevant project experience during client-facing evaluation. Preferred / Complementary Experience • AI architecture experience — designing AI-first system architectures, not just implementing features. • Document intelligence specialisation (OCR, extraction, classification, unstructured-to-structured pipelines). • Platform engineering background (shared services, internal developer platforms, golden paths). • Business analysis experience translating domain requirements into technical specifications. • Project / program management experience on similar AI or platform modernization engagements. • Domain-specific engineering experience relevant to the client's industry. Candidate Profile This engagement requires seasoned resources who have previously delivered similar work — not first-time exposure. Successful candidates will be able to speak concretely to past projects involving agentic AI development, Micro UI/micro-frontend delivery, and backend document intelligence at scale. Potential Role Variants on This Engagement • AI Engineering • AI Architecture • Document Intelligence • Azure AI Foundry Specialist • Agentic AI Development • Platform Engineering • Business Analysis • Project / Program Management • Domain-Specific Engineering Requirements Key Responsibilities • Design and build AI-assisted features and agentic workflows on Azure AI Foundry. • Develop domain-specific Micro UI applications using Angular, integrated with .NET backend services. • Implement document intelligence pipelines to extract, process, and structure data from unstructured documents. • Work with Databricks and Snowflake for backend data processing, storage, and retrieval supporting AI features. • Apply agentic coding practices and AI-assisted development tooling as a core part of the delivery workflow (target: 60%+ of code AI-generated, with rigorous human review). • Collaborate with architects, business analysts, and domain teams to align each Micro UI to its specific domain's access patterns and requirements. • Contribute to platform engineering standards ensuring Micro UIs are consistent, secure, and maintainable across domains.