AI Engineer - Azure Foundry

Latent Bridge; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

LatentBridge in New York, NY is seeking an experienced AI Engineer to join a platform engineering initiative focused on building independently deployable Micro UIs across a broad enterprise platform. The role blends applied AI engineering with modern full-stack delivery (.NET, Angular) and backend document/data intelligence work (Databricks, Snowflake).

This is a seasoned-resource engagement requiring real project delivery in agentic AI and micro-frontend architectures.

Qualifications

• Hands-on experience with Azure AI Foundry (or equivalent Azure AI tooling).
• Angular front-end development experience.
• Experience with backend document processing/data platforms — Databricks and Snowflake.
• Demonstrated agentic AI development and AI-assisted coding workflows in production.
• Prior experience building MicroUI / micro-frontend architectures with domain-based access.

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, 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.
• Collaborate with architects, business analysts, and domain teams to align each Micro UI to its domain's access patterns.

Skills

Angular

Agentic AI development

MicroUI / micro-frontend

Strong communication

Tools

Azure AI Foundry

Databricks

Snowflake

.NET

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

Requirements

Key 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, 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.