Senior 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:

• The Senior AI/ML Engineer will contribute to the design and delivery of AI-enabled solutions supporting Sales and Distribution modernization, including integration across employer, broker, and enrollment ecosystems
• This role focuses on building and enhancing scalable components for sales workflows, distribution platforms, API integrations, and automation pipelines, including AI-driven and agentic workflow capabilities
• The engineer will develop and deploy machine learning models, generative AI solutions, and RAG-based systems that improve sales intelligence, operational efficiency, and decision-making
• Working closely with product, engineering, and operations teams, the role will translate business requirements into technical solutions and ensure seamless integration with existing enterprise systems
• The Senior Engineer will support system performance, reliability, and scalability, contribute to model evaluation and monitoring, and ensure adherence to Responsible AI, governance, and security standards
• Additionally, the role collaborates with offshore teams, participates in design and code reviews, and drives high-quality execution within defined project scope
• Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making
• 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 regards 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:

• A bachelor's or master's degree in computer science, engineering, or a related field
• 8+ years of experience in software engineering, with 2+ years of hands-on experience building and deploying AI/ML systems in production environments
• Experience with model evaluation, performance monitoring, and MLOps practices
• Solid expertise in developing scalable enterprise applications, including API integrations, microservices architectures, and workflow automation frameworks, along with working experience in machine learning, generative AI (GPT-based models), RAG pipelines, or agentic workflows
• Solid understanding of sales and distribution systems or enterprise platform integrations, including CRM, enrollment, or broker ecosystem integration patterns
• Demonstrated solid problem-solving skills, the ability to translate business requirements into technical solutions, and effective collaboration with cross-functional teams

Preferred Qualifications:

• Experience working in distributed or offshore team environments
• Familiarity with enterprise AI governance, Responsible AI principles, and security/compliance requirements

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.