Azure AI Engineering

Location: United States Experience: Not specified Job Type: Permanent

### Top Skills & Technologies Azure | LLM | MCP | Generative AI | Agentic AI | APIs | Automated Testing | Document Processing

### Job Summary Thinking Minds' client is seeking an AI Engineer to build AI-powered solutions that transform fund administration workflows. Working within a small, cross-functional development team, you will take applications from initial prototype through pilot and production on a shared Azure AI platform. Projects span Generative AI assistants, intelligent document processing, and Agentic AI workflows, including agents that coordinate tasks and prepare outputs for human review.

The role involves close collaboration with operations specialists, data scientists, data engineers, AI analysts, and a dedicated AI infrastructure team. You will translate redesigned business processes into practical, testable solutions and improve them as adoption expands across funds and clients.

### Ideal Candidate Should Have
A practical engineering mindset and the ability to turn operational needs into dependable AI applications.

Confidence collaborating with technical colleagues, operations experts, and AI delivery partners.

A strong focus on output quality, maintainability, and meaningful human oversight.

Ownership of delivery from experimentation through production improvement.

### Key Responsibilities
Build LLM assistants, document extraction applications, AI agents, and multi-agent workflows that read documents, retrieve data, perform checks, and prepare work for review.

Connect applications to enterprise systems and data through APIs , MCP servers, and the shared AI platform.

Implement workflow logic, tool integrations, guardrails , and human review steps appropriate to each process.

Develop automated tests and evaluations, resolve defects, and incorporate user feedback throughout delivery.

Support pilots, production releases, and continued refinement as workflows scale.

Collaborate with AI partners and progressively lead builds within the development team.

### Required Qualifications
Ability to engineer AI applications and integrate them with business workflows and data sources.

Working knowledge of Azure-based AI delivery, LLM applications, and agent-oriented workflows.

Ability to write automated tests, evaluate application behavior, and troubleshoot defects.

Effective communication and cross-functional problem-solving skills.

### Preferred Qualifications
Familiarity with fund administration or document-intensive financial operations.

Experience with multi-agent orchestration, intelligent document processing, and production AI evaluation.

An understanding of human-in-the-loop controls and responsible AI implementation.

Thinking Minds' client offers collaborative AI development work, dedicated infrastructure support, and opportunities to shape production workflows with operational impact.

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