AIEngineer

Engagement: Micro UI / Domain PlatformModernization

Role Overview

We are seekingan experienced AI Engineer to join a platform engineering initiative focused onbuilding 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-stackdelivery (.NET, Angular) and backend document/data intelligence work(Databricks, Snowflake). This is a seasoned-resource engagement: candidatesshould have prior, demonstrable experience delivering this type of work, notsolely theoretical familiarity.

Key Responsibilities

• Design and build AI-assistedfeatures and agentic workflows on Azure AI Foundry.

• Develop domain-specific MicroUI applications using Angular, integrated with .NET backend services.

• Implement document intelligencepipelines to extract, process, and structure data from unstructured documents.

• Work with Data bricks andSnowflake for backend data processing, storage, and retrieval supporting AIfeatures.

• Apply agentic coding practicesand 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 specificdomain's access patterns and requirements.

• Contribute to platformengineering standards ensuring Micro UIs are consistent, secure, andmaintainable across domains.

Required Skills & Experience

• Hands-on experience with AzureAI Foundry (or direct equivalent Azure AI/ML tooling).

• .NET backend developmentexperience.

• Angular front-end developmentexperience.

• Experience working with backenddocument processing/data platforms — Databricks and Snowflake.

• Demonstrated experience withagentic AI development and AI-assisted ('agentic') coding workflows, with atrack record of significant AI-generated code (60%+) in production delivery.

• Prior experience building MicroUI / micro-frontend architectures, ideally with domain-based accesssegmentation.

• Strong communication skills;able to clearly articulate prior relevant project experience duringclient-facing evaluation.

Preferred / Complementary Experience

• AI architecture experience —designing AI-first system architectures, not just implementing features.

• Document intelligencespecialisation (OCR, extraction, classification, unstructured-to-structuredpipelines).

• Platform engineering background(shared services, internal developer platforms, golden paths).

• Business analysis experiencetranslating domain requirements into technical specifications.

• Project / program managementexperience on similar AI or platform modernization engagements.

• Domain-specific engineeringexperience relevant to the client's industry.

Candidate Profile

This engagementrequires seasoned resources who have previously delivered similar work — notfirst-time exposure. Successful candidates will be able to speak concretely topast projects involving agentic AI development, Micro UI/micro-frontenddelivery, 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