I.T. & Communications · Permanent
Sr AI/ML Engineer Remote Nationwide or Office-Based in MN/DC
UnitedHealth Group · Virginia, United States
- Location: Virginia, United States
- Employment: Permanent
Job description
Overview
In this Senior AI/ML Engineer role within Optum Tech UHC Technology, you design, build, and scale AI/ML solutions for Medicare & Retirement. You will partner with software engineers, data scientists, and business partners to deploy production-ready models and robust MLOps pipelines. You contribute to health equity and operational excellence by applying modern ML frameworks and cloud platforms to healthcare applications. This remote-friendly, office-based role offers impactful work across a large healthcare ecosystem and cross-functional collaboration. You will shape AI strategy and delivery, tackling high-impact, enterprise-scale challenges.
Compensation / Benefits
• comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401(k) contribution
• remote-friendly work arrangement
• career development opportunities
Responsibilities
• Design, develop, and deploy AI-powered solutions for enterprise healthcare applications
• Build and operationalize end-to-end ML models and AI services
• Establish scalable MLOps frameworks, deployment pipelines, and model monitoring
• Collaborate with software engineers, data scientists, and business partners to integrate AI into production
• Evaluate emerging AI/ML trends to inform solution design and strategic innovation
• Ensure AI/ML models meet performance, scalability, security, and ethical governance standards
• Streamline workflows using enterprise-approved AI tools
• Support responsible use of AI across projects
Key requirements
• 5+ years of professional software engineering, data science, or AI/ML engineering experience
• 3+ years designing, training, and deploying ML models in production
• 3+ years Python programming with TensorFlow, PyTorch, scikit-learn, or XGBoost
• 2+ years MLOps practices, automated deployment, and monitoring
• 2+ years cloud infrastructure experience (AWS, Azure, GCP) for ML workflows
• 2+ years experience with relational or non-relational databases and SQL
• collaboration across cross-functional teams
• strong problem-solving and critical thinking
• effective communication and stakeholder management
• Python
• TensorFlow
• PyTorch
In this Senior AI/ML Engineer role within Optum Tech UHC Technology, you design, build, and scale AI/ML solutions for Medicare & Retirement. You will partner with software engineers, data scientists, and business partners to deploy production-ready models and robust MLOps pipelines. You contribute to health equity and operational excellence by applying modern ML frameworks and cloud platforms to healthcare applications. This remote-friendly, office-based role offers impactful work across a large healthcare ecosystem and cross-functional collaboration. You will shape AI strategy and delivery, tackling high-impact, enterprise-scale challenges.
Compensation / Benefits
• comprehensive benefits package
• incentive and recognition programs
• equity stock purchase
• 401(k) contribution
• remote-friendly work arrangement
• career development opportunities
Responsibilities
• Design, develop, and deploy AI-powered solutions for enterprise healthcare applications
• Build and operationalize end-to-end ML models and AI services
• Establish scalable MLOps frameworks, deployment pipelines, and model monitoring
• Collaborate with software engineers, data scientists, and business partners to integrate AI into production
• Evaluate emerging AI/ML trends to inform solution design and strategic innovation
• Ensure AI/ML models meet performance, scalability, security, and ethical governance standards
• Streamline workflows using enterprise-approved AI tools
• Support responsible use of AI across projects
Key requirements
• 5+ years of professional software engineering, data science, or AI/ML engineering experience
• 3+ years designing, training, and deploying ML models in production
• 3+ years Python programming with TensorFlow, PyTorch, scikit-learn, or XGBoost
• 2+ years MLOps practices, automated deployment, and monitoring
• 2+ years cloud infrastructure experience (AWS, Azure, GCP) for ML workflows
• 2+ years experience with relational or non-relational databases and SQL
• collaboration across cross-functional teams
• strong problem-solving and critical thinking
• effective communication and stakeholder management
• Python
• TensorFlow
• PyTorch