As a Senior AI/ML Engineer you will design and build end-to-end ML systems manage ML lifecycle workflows and ensure compliance with AI standards within the healthcare sector.

Requisition Number: 2343644
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.
As part of Optum AI UnitedHealth Group's enterprise AI organization you will build and scale production-grade machine learning and generative AI systems that directly impact patient outcomes clinical efficiency and enterprise automation. This team operates at the intersection of healthcare and cutting-edge AI-developing platforms and capabilities used across the enterprise.
In this role you will partner closely with ML scientists platform engineers and product teams to deliver highly scalable compliant and reliable AI solutions. You'll work on modern ML infrastructure real-time inference systems and responsible AI practices-bringing innovation into production in one of the most impactful industries.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington D.C. area you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:

• Design build and maintain end-to-end ML platforms and pipelines (training validation deployment and monitoring)
• Productionize ML models using batch and real-time inference architectures (APIs streaming event-driven systems)
• Develop and manage ML lifecycle workflows using tools such as MLflow Kubeflow SageMaker or Azure ML
• Build and maintain CI/CD pipelines for ML (CI/CT/CD) including automated testing validation and model promotion
• Containerize and deploy ML workloads using Docker and Kubernetes ensuring scalability and reliability
• Implement infrastructure-as-code (Terraform or equivalent) for reproducible and secure ML environments
• Develop monitoring and observability solutions for model performance drift latency and data quality
• Automate retraining and redeployment workflows based on performance degradation or new data availability
• Partner with cross-functional teams to define and enforce ML engineering standards and best practices
• Ensure compliance with enterprise governance security and Responsible AI requirements

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:

• Bachelor's degree in Computer Science Engineering or related field OR 4+ years of equivalent experience
• 5+ years of experience in ML Engineering / MLOps with production deployment of machine learning systems
• 3+ years of experience with ML lifecycle tools (MLflow Kubeflow SageMaker Azure ML or similar)
• 3+ years of experience with Docker and Kubernetes in production environments
• 3+ years of experience building CI/CD pipelines for ML using Git-based workflows and automation tools
• 2+ years of experience with cloud platforms (AWS Azure or GCP) for ML workloads
• Experience with real-time and batch inference systems (e.g. Kafka Kinesis Event Hubs)
• Solid programming experience in Python (5+ years) with ML frameworks (PyTorch TensorFlow or scikit-learn)

Preferred Qualifications:

• 7+ years of experience in ML engineering or distributed systems
• Experience with feature stores (e.g. Feast) and data versioning systems
• Hands-on experience with distributed data processing frameworks (Spark Ray)
• Experience with workflow orchestration tools (Airflow Dagster Prefect)
• Experience with multi-cloud or hybrid cloud ML deployments
• Knowledge of Responsible AI bias detection and model explainability techniques
• Familiarity with observability tools (Prometheus Grafana OpenTelemetry)
• Proven contributions to open-source ML or MLOps projects

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy
Pay is based on several factors including but not limited to local labor markets education work experience certifications etc. In addition to your salary we offer benefits such as a comprehensive benefits package incentive and recognition programs equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $91700 to $163700 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race national origin religion age color sex sexual orientation gender identity disability or protected veteran status or any other characteristic protected by local state or federal laws rules or regulations.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
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