AI Engineer - Azure Foundry

Latentbridge; New York (NY); On-site; USD 140,000 - 200,000; Full time

Job summary

LatentBridge is seeking an experienced AI Engineer to join a platform engineering initiative focused on building Micro UIs across an enterprise platform. The role blends applied AI engineering with full-stack delivery (.NET, Angular) and backend document intelligence work using Databricks and Snowflake.

This seasoned engagement requires delivering significant AI-generated code with rigorous human review. The candidate will collaborate with architects, analysts, and domain teams to ensure Micro

Qualifications

• Hands-on Azure AI Foundry experience.
• Angular front-end development experience.
• Experience with backend document processing platforms like Databricks and Snowflake.
• Demonstrated agentic AI development with significant AI-generated code in production.
• Experience building MicroUI/micro-frontend architectures.
• Strong communication skills for client-facing evaluation.

Responsibilities

• Design and build AI-assisted features and agentic workflows on Azure AI Foundry.
• Develop domain-specific MicroUI applications using Angular, integrated with .NET backend services.
• Implement document intelligence pipelines to extract and structure data from unstructured documents.
• Work with Databricks and Snowflake for backend data processing, storage, and retrieval.
• Apply agentic coding practices and AI-assisted tooling with 60%+ AI-generated code and human review.
• Collaborate with architects, BAs, and domain teams to align Micro UIs to domain access patterns.
• Contribute to platform engineering standards for secure, maintainable UIs across domains.

Skills

Azure AI Foundry

Angular

Databricks

Snowflake

Agentic AI development

Micro UI / micro-frontend

Domain-based access segmentation

Client-facing communication

Tools

Databricks

Snowflake

Angular tooling

Job description

New York, United States | Posted on 09/16/2026

At LatentBridge, we make digital transformation work—without the noise.

We help enterprises simplify the complex, using AI orchestration and intelligent automation to solve real operational challenges. Our focus is on the parts of the business that are often overlooked—compliance, audit, policy, and risk—where precision, scalability, and accountability matter most.

Our products—Epic AI and IntellixCore—are built for this depth.Epic AI delivers enterprise-grade search and knowledge assistance directly inside the tools people already use—making access to information instant and intuitive.

IntellixCore is a platform to build, deploy, and scale intelligent agents across critical workflows—seamlessly integrating with existing systems.

We work with global banks, financial institutions, and legal firms—teams navigating constant change, regulatory pressure, and operational complexity.

In 2024, we were named one of the Deloitte UK Technology Fast 50, recognised for our growth and the tangible impact we deliver.

What sets us apart is not just what we build, but how we build it—grounded in enterprise realities, delivered with clarity, and always focused on outcomes that matter.

Job Description

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).
• 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.
• 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
• Agentic AI Development
• Platform Engineering
• Business Analysis
• Domain-Specific Engineering

Requirements

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 Databricks 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.