Senior AI/ML Engineer - MLOps & Production AI Platform

Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

Join Optum's Prior Authorization Automation Platform to build and operate scalable AI/ML platforms supporting Prior Auth Determination, Status Monitoring, and future AI agents. This role focuses on production AI delivery, MLOps, monitoring, governance, and enterprise-scale ML operations. The platform includes AI-assisted determination, monitoring, and future agentic automation capabilities.

Primary Responsibilities:

Design, deploy, and maintain production-grade AI/ML platforms

Build scalable MLOps pipelines and AI deployment frameworks

Implement model lifecycle management, CI/CD for ML, and automated retraining

Establish monitoring for:

Model Performance

Data Drift

Concept Drift

Prompt Drift

Hallucination Tracking

Build champion vs. challenger model frameworks

Develop AI observability, governance, and compliance controls

Support AIRB, Responsible AI, and production AI readiness

Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regard to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so

Required Qualifications:

6+ years in AI/ML Engineering, Data Engineering, or MLOps

Solid Python and ML platform experience

Hands-on experience with:

Azure ML

Databricks

MLflow

CI/CD for ML

AI Observability

Model Monitoring

Experience deploying and operating ML systems at enterprise scale

Experience with cloud platforms (Azure preferred)

Preferred Qualifications:

Healthcare AI, Prior Authorization, Claims, RCM, or EHR experience

Experience building governance and Responsible AI controls

FHIR, HL7, Epic integration knowledge

Exposure to GenAI, LLMOps, and AI monitoring frameworks

Ideal Candidate:

A solid AI platform engineer who can operationalize AI at scale and ensure Prior Authorization AI solutions are reliable, observable, compliant, and production-ready

At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone - of every race, gender, sexuality, age, location and income - deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.