AI Platform Engineer Lead: Azure MLOps & LLMs

Insight Global; United States; On-site; USD 100,000 - 160,000; Full time

Benefits offered by this job

Flexible conversion salary

Benefits through IG during contract

Client FTE package upon conversion

Job summary

A leading academic health institution is seeking a senior-level AI/ML platform engineer with hands-on experience in Azure MLOps and Microsoft Fabric. Candidates should have a deep understanding of model registries, LLM usage, and agent technologies. This role requires collaboration with infrastructure and DevOps teams to develop secure patterns and implement governance standards. The successful candidate will work with large-scale structured and unstructured data and must have a background in regulated environments. This position is based in the United States and offers a competitive compensation range.

Qualifications

• Hands-on experience with Azure MLOps, including AI Foundry.
• Strong knowledge of model registries and LLM usage.
• Experience with AI agent technologies in production environments.
• Proficiency with structured and unstructured data.
• Understanding of Fabric, AI Foundry, and MLOps integration.
• Experience with real-time data pipelines.
• Ownership of governance, security, and provisioning controls.
• Background in a regulated environment.

Responsibilities

• Collaborate with infrastructure and DevOps teams.
• Build secure, reusable patterns for AI/ML models.
• Implement governed registries and access controls.
• Translate regulatory requirements into practical standards.

Skills

Hands-on experience with Azure MLOps

Strong knowledge of model registries and LLM usage

Experience with AI agent technologies in production environments

Proficiency with structured and unstructured data

Understanding of Fabric, AI Foundry, and MLOps integration

Experience with real-time data pipelines

Governance, security, and provisioning controls

Background in a regulated environment

Tools

Azure MLOps

AI Foundry

Microsoft Fabric

Job description

A leading academic health institution is seeking a senior-level AI/ML platform engineer with hands-on experience in Azure MLOps and Microsoft Fabric. Candidates should have a deep understanding of model registries, LLM usage, and agent technologies. This role requires collaboration with infrastructure and DevOps teams to develop secure patterns and implement governance standards. The successful candidate will work with large-scale structured and unstructured data and must have a background in regulated environments. This position is based in the United States and offers a competitive compensation range.