Senior Manager AI/ML Engineering

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.  

Lead the design, development, and product ionization of AI/ML solutions at scale while managing high-performing engineering teams. This role combines technical depth, people leadership, and strategic ownership to drive AI-powered business outcomes.

Sr Manager AI/ML Engineering is responsible for leading the design, development, and delivery of scalable AI/ML solutions, driving technical strategy, building high-performing engineering teams, and ensuring alignment between business outcomes and AI capabilities. The role includes ownership of architecture decisions, governance and compliance of AI solutions, stakeholder communication, and enabling cross-functional collaboration to operationalize AI at scale.

Primary Responsibilities:

• Technical Leadership
  • Define and drive the AI/ML architecture, platform, and roadmap
  • Oversee development of scalable ML systems, models, and pipelines
  • Ensure performance, reliability, and production readiness of AI solutions
• Team & Delivery Management
  • Lead and mentor a team of AI/ML engineers, data scientists, and MLOps professionals
  • Own end-to-end delivery of AI initiatives—from ideation to deployment
  • Establish best practices, coding standards, and development processes
• Strategy & Business Alignment
  • Translate business problems into AI/ML solutions and roadmaps
  • Align AI initiatives with enterprise priorities and measurable outcomes
  • Partner with product, data, and leadership teams to drive adoption
• MLOps & Platform Engineering
  • Build and scale ML pipelines, CI/CD, monitoring, and model governance
  • Drive adoption of cloud-native and data platforms (Azure, AWS, GCP)
• Talent & Organization Development
  • Hire, coach, and retain top AI/ML talent
  • Foster a culture of innovation, experimentation, and engineering excellence
• Stakeholder Communication
  • Present technical strategies, progress, and impact to senior leadership
  • Bridge gap between technical teams and business stakeholders
• 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 Qualification:

• Undergraduate degree or equivalent experience.

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.