Job Description
UT Health is seeking a senior-level AI/ML platform engineer leader with hands-on experience in Azure MLOps, AI Foundry, and Microsoft Fabric (from an AI/ML perspective), deep understanding of model registries, LLM usage, and agent technologies, proven ability to work with large-scale structured and unstructured data (including Epic systems), and strong architectural expertise in securely connecting Fabric, AI Foundry, and MLOps for real-time data flows, governance, and compliance—someone who collaborates closely with infrastructure and DevOps teams to build secure, reusable patterns, enable others to develop models, implement governed registries and access controls, translate regulatory requirements across industries into practical standards, and bring an ownership mindset and leadership potential as the first AI/ML platform hire.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
Azure ML Ops
• AI Foundry
• Model Registry & LLM Usage - Understanding of available models
• Agent Technologies - AI agents experience
• Large-Scale Data Experience
• Structured & Unstructured Data - Both types for AI/ML applications
• Technical Architecture Understanding - How three workspaces (Fabric, AI Foundry, MLOps) communicate securely
• Real-time Data Flow - Fabric → AI Foundry or MLOps as needed
• Governance Chain - Maintain provisioning governance throughout
• Platform Enablement - Focus on enabling others, not direct model building
• Must come from a regulatory environment
Nice to Have Skills & Experience
• Healthcare Background - Plus but not mandatory
• Epic/FHIR/HL7 Experience - Healthcare data standards knowledge
• Purview Experience - Plus but not main focus (Kiran handles Purview)
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.