Lead AI/ML Engineer

Job ID: 100399421040Posted: 2026-09-11Location: Minnetonka, Minnesota, United StatesSalary: $145,500 - $249,500/yearJob Area: TechnologyCompany: UnitedHealth GroupOptum 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 a Lead AI/ML Engineer within Optum Technology, you will define and execute the AI/ML engineering roadmap aligned with key business objectives. You will provide technical leadership for Machine Learning, Generative AI, Agentic AI, NLP, and Predictive Analytics initiatives, leading architectural reviews and technology selection decisions. Working alongside a collaborative team of engineers and data scientists, you will design, build, and deploy production-ready AI systems, establish end-to-end MLOps pipelines, and champion responsible AI practices to deliver scalable solutions that transform healthcare technology.You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities:Define and execute the AI/ML engineering roadmap aligned with business objectivesProvide technical leadership for AI, Machine Learning, Generative AI, Agentic AI, NLP, and Predictive Analytics initiativesLead AI solution architecture reviews and technology selection decisions while mentoring and developing AI/ML engineers and data scientistsDesign, build, train, evaluate, and deploy production-ready machine learning and deep learning modelsLead implementation of LLM-based applications, RAG architectures, AI agents, and conversational AI platformsEstablish model performance benchmarks, validation frameworks, responsible AI, explainability, bias mitigation, and model governance practicesDesign and implement end-to-end MLOps pipelines, CI/CD standards, model monitoring, drift detection, and observability on cloud platforms (e.g., Azure or GCP)Collaborate with data engineering teams to develop reliable data pipelines and feature stores while ensuring compliance with security and regulatory standardsPartner with business leaders and domain experts to translate complex business problems into scalable AI solutions and communicate technical outcomes to executive audiencesStrategically leverage enterprise AI capabilities to streamline workflows, optimize inference performance, solve complex challenges, and drive continuous engineering excellence 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:5+ years of software engineering or data engineering experience2+ years of hands-on Machine Learning engineering experienceExperience building and deploying production-ready ML/DL models into live environmentsExperience designing or implementing cloud-native infrastructure or MLOps pipelines (e.g., Azure or GCP)Demonstrated track record of delivering AI solutions that drive measurable business impactPreferred Qualifications:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related fieldExperience delivering Large Language Model (LLM) applications, Retrieval-Augmented Generation (RAG) architectures, and AI agentsHands-on experience with responsible AI frameworks, explainability tools, bias mitigation, and model governanceProven solid leadership and communication skills with experience presenting technical concepts to executive stakeholders*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter PolicyPay 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 $145,500 - $249,500 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.