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:
- Lead the strategy, architecture, development, and delivery of scalable AI/ML and GenAI solutions
- Provide technical and people leadership to AI/ML engineering teams, driving engineering excellence and talent development
- Lead production AI/ML systems across ML, Deep Learning, NLP, GenAI, LLM
- Drive engineering best practices across MLOps, DevOps, automation, monitoring, reliability and continuous improvement
- Partner with product, architecture, data and business stakeholders to translate complex business needs into scalable AI solutions
- Establish appropriate AI evaluation criteria, readiness thresholds, monitoring, guardrails, human review and lifecycle controls, consistent with SG28-29 internal AI guidance
- Ensure AI solutions meet expectations for reliability, quality, fairness, accountability, transparency, privacy and security
- Mentor and develop engineering talent while accelerating AI adoption and innovation
- Provides leadership to and is accountable for the performance of managers and/or senior level professional staff
- Impact of work is most often at the operational or local business unit or market level
- 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:
- Bachelor's/Master's degree in Computer Science, AI/ML, Engineering, Data Science or equivalent experience
- Solid experience leading AI/ML engineering and production-scale AI solution delivery
- Experience building and scaling AI/ML systems with a production-focused engineering approach
- Strong knowledge of cloud platforms, model deployment, monitoring and AI engineering practices
- Deep understanding of Machine Learning, Deep Learning, NLP, Generative AI, LLMs
- Proven technical leadership, people leadership, stakeholder management, and cross-functional delivery skills
- Proven ability to define AI success criteria and guide teams through experimentation, evaluation, production deployment and continuous improvement
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.
Skills Required
- Bachelor's or master's degree in Computer Science, AI/ML, Engineering, Data Science, or equivalent experience
- Experience leading AI/ML engineering and production-scale AI solution delivery
- Experience building and scaling AI/ML systems using a production-focused engineering approach
- Strong knowledge of cloud platforms, model deployment, monitoring, and AI engineering practices
- Deep understanding of machine learning, deep learning, NLP, generative AI, and LLMs
- Technical leadership, people leadership, stakeholder management, and cross-functional delivery skills
- Ability to define AI success criteria and guide experimentation, evaluation, production deployment, and continuous improvement
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
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Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
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Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.
Optum Insights
What We Do
Optum, part of the UnitedHealth Group family of businesses, 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. At Optum, we support your well-being with an understanding team, extensive benefits and rewarding opportunities. By joining us, you’ll have the resources to drive system transformation while we help you take care of your future. We recognize the power of connection to drive change, improve efficiency and make a difference in health care. Join a team where your skills and ideas can make an impact and where collaboration is key to creating technology that produces healthier outcomes.
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Optum Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Optum has three workplace models that balance the needs of the business and the responsibilities of each role. These models, core on‑site (5 days/week), hybrid (4 days/week) and telecommute or fully remote, vary by country, role and location.
