The Role
Leads the design, development, deployment, and operational support of scalable AI/ML solutions. Owns complex initiatives end to end, applies machine learning and statistical methods, drives MLOps and modern engineering practices, and ensures security, privacy, observability, and production readiness. Partners with business and engineering stakeholders to solve healthcare and pharmacy challenges, influences architecture, mentors engineers, and communicates technical concepts to leadership.
Summary Generated by Built In
Requisition Number: 2356934
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:
Required Qualifications:
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.
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 design, development, and production deployment of AI/ML solutions, translating models and algorithms into scalable, secure, and reliable software used in enterprise systems
- Serve as a technical lead for complex AI/ML initiatives, owning end-to-end implementation from design through deployment and operational support
- Apply advanced knowledge of machine learning, deep learning, statistics, and experimental methodologies to build high-quality, data-driven solutions
- Partner closely with product, business, and engineering stakeholders to identify high-value use cases and deliver AI solutions that solve real OptumRx business problems
- Drive modern engineering practices across teams, including automation-first development, code reuse, observability, and CI/CD adoption for AI systems
- Champion AI/MLOps best practices, ensuring models and pipelines are production-ready, monitored, and continuously improved
- Influence architectural decisions by applying broad domain and technology expertise to balance performance, scalability, security, and maintainability
- Enforce and promote enterprise security, privacy, and quality standards within AI/ML solutions, proactively identifying and mitigating risk
- Mentor and guide engineers across teams, acting as a subject-matter expert and escalation point for AI/ML engineering challenges
- Communicate complex AI/ML concepts and results clearly to technical and non-technical audiences, including senior leadership
- 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:
- Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
- Deep, hands-on experience designing, developing, and deploying AI/ML solutions into production, including translating models and algorithms into scalable software systems
- Extensive experience with modern AI/ML engineering stacks, including large-scale compute and data frameworks, and building reusable AI-enabled services and pipelines. [AI/ML Engi...ring (AIM) | SharePoint]
- Experience partnering with product, business, and engineering stakeholders to translate business problems into AI/ML-driven solutions and measurable outcomes
- Solid understanding of security, privacy, and quality standards as they apply to AI/ML systems, with experience designing solutions that meet enterprise and regulatory expectations
- Proven solid foundation in machine learning, deep learning, statistics, optimization, probability theory, and experimental methodologies, with the ability to apply these concepts in real-world engineering environments
- Demonstrated ability to lead complex technical initiatives end-to-end, serving as a technical owner or lead engineer for high-impact AI systems
- Proven expertise in modern software engineering practices, including automation-first development, CI/CD, observability, and operational readiness for production AI workloads
- Proven ability to apply broad technical and domain knowledge to architectural decision-making, balancing performance, scalability, maintainability, and business value
- Proven excellent communication skills, with the ability to explain complex AI/ML concepts clearly to both technical and non-technical audiences, including leadership
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 degree or higher in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
- Deep hands-on experience designing, developing, and deploying AI/ML solutions into production
- Experience with modern AI/ML engineering stacks, large-scale compute and data frameworks, reusable AI-enabled services, and pipelines
- Experience translating business problems into AI/ML-driven solutions and measurable outcomes
- Understanding of security, privacy, and quality standards for AI/ML systems in enterprise and regulated environments
- Foundation in machine learning, deep learning, statistics, optimization, probability theory, and experimental methodologies
- Ability to lead complex technical initiatives end to end as a technical owner or lead engineer
- Expertise in automation-first development, CI/CD, observability, and operational readiness for production AI workloads
- Ability to make architectural decisions balancing performance, scalability, maintainability, and business value
- Excellent communication skills with technical, non-technical, and leadership audiences
Optum Compensation & Benefits Highlights
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Parental & Family Support — Paid parental leave (six weeks), paid caregiver leave (up to two weeks), Bright Horizons back-up care, and adoption assistance up to $10,000 are prominently included. Feedback suggests these family supports meaningfully aid work-life balance and are often highlighted as strengths.
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Retirement Support — A 401(k) with company match is available to all employees, including part-time staff, alongside other financial protections like disability and life insurance. Feedback suggests broad access and matching make retirement support a core pillar of the package.
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Equity Value & Accessibility — An Employee Stock Purchase Plan offers discounted company stock, with some roles also eligible for sign-on or performance bonuses. Feedback suggests the ESPP is a standout financial perk that helps employees build ownership over time.
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The Company
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.
Typical time on-site:
Not Specified
