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 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.