.Net AI Engineer /Azure AI Foundry

AI Engineer 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 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.

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.