AI/ML Engineer

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.  

Primary Responsibilities:

• Design, develop, and deploy scalable end-to-end AI/ML solutions for complex business problems
• Own the full model lifecycle including data preparation, feature engineering, model development, evaluation, and production deployment
• Build and optimize ML pipelines and workflows for scalability, reliability, and performance
• Develop advanced AI solutions using techniques such as NLP, deep learning, predictive modeling, and Generative AI
• Collaborate with product, engineering, and business teams to translate requirements into AI-driven solutions
• Integrate AI/ML models into enterprise applications and production systems
• Implement and manage MLOps practices including CI/CD, monitoring, retraining, and version control
• Monitor, troubleshoot, and continuously improve model performance in production environments
• Contribute to reusable frameworks, libraries, and engineering best practices
• Communicate technical designs, trade-offs, and outcomes clearly to stakeholders

• Stay updated with emerging AI/ML technologies and apply them to drive innovation

   

• Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements

Required Qualifications:

• Graduate degree or equivalent experience
• Experience with NLP, Large Language Models (LLMs), or Generative AI use cases
• Experience building enterprise-grade AI systems with strong reliability and governance requirements
• Experience mentoring junior engineers or owning small modules/projects
• Familiarity with distributed computing frameworks such as Spark or Ray
• Knowledge of Responsible AI practices including fairness, explainability, and bias mitigation

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.