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.