The Role
Define and drive solution architecture and AI product strategy, guiding engineering teams on design, scalability, security, and compliance. Lead generative AI initiatives, evaluate technologies, mitigate technical debt, and communicate trade-offs to stakeholders while embedding responsible AI and cloud-native best practices.
Summary Generated by Built In
Requisition Number: 2366468
Primary Responsibility:
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.
- Craft and communicate the overarching architecture vision, solution intent, and technical strategies, clearly articulating trade offs and securing buy in across product, engineering, and enterprise stakeholders.
- Develop comprehensive architectural plans and reference architectures that guide the implementation of integrated systems aligned with business goals and consumer journeys.
- Collaborate with business, product, and enterprise architects to understand strategy and translate it into actionable technical guidance for engineering teams, helping resolve complex technical issues and ensuring adherence to architectural standards.
- Provide recommendations and technical guidance to improve scalability, performance, reliability, security, and reusability within budget, resource, and business constraints
- Ensure that solution architectures for both internally built and acquired capabilities conform to enterprise architecture standards, security policies, cloud best practices, and compliance requirements.
- Engage with multiple delivery teams and vendors, offering hands on architectural support through design reviews, architecture walkthroughs, and evaluation of emerging technologies.
- Communicate architectural decisions, risks, and trade offs effectively to a broad range of stakeholders, including senior leadership, in a clear and executive ready manner.
- Maintain and evolve architectural artifacts including solution intents, architectural diagrams, standards, patterns, and documentation to ensure consistency, clarity, and reuse.
- Present solution options, decision matrices, and clear recommendations with rationale to drive alignment and informed decision making.
- Partner with delivery teams to identify, prioritize, and mitigate technical debt, balancing short term delivery needs with long term platform health.
- Continuously enhance technical knowledge and apply innovative solutions using emerging technologies, including AI enabled and cloud native approaches.
- Promote the use of shared services, reusable frameworks, and federated architecture patterns across engineering teams.
- Guide engineering teams to deliver secure, resilient solutions by embedding non functional requirements and enterprise guardrails early in the design process.
- Apply an AI first mindset, enabling teams to adopt AI based and agentic approaches where they provide measurable value.
- Operate as a self motivated, self directed architecture partner who proactively identifies gaps, risks, and opportunities across initiatives.
- Demonstrate strong collaboration skills by building trust based relationships across product, engineering, TPM, security, and enterprise architecture teams.
Primary Responsibility:
- 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:
- MBA
- Bachelor's degree in engineering, computer science, data science, or a related field of study
- 8+ years of experience in a product organization or product-related role with direct client or customer-facing responsibilities
- 3+ years of hands-on experience building and shipping AI or ML-powered products - not AI-adjacent roles; candidates must have directly owned AI product outcomes
- 3+ years of AI/ML product leadership experience in healthcare, health tech, or enterprise SaaS
- Experience designing experiments (A/B tests, champion/challenger models) to validate AI product hypotheses before committing to full build
- Experience in complex matrix organizations, multi-disciplinary teams, and cross-functional program
- Experience with generative AI product development, including prompt engineering, RAG architectures, evaluation frameworks, and responsible deployment practices
- Deep, working knowledge of AI/machine learning concepts including supervised and unsupervised learning, NLP, generative AI, model evaluation, and MLOps
- Hands-on familiarity with AI tooling and platforms
- Keen understanding of the healthcare and technology marketplace, including competitors and emerging trends in automation, AI, and ML adoption for payer and provider solutions
- Proven understanding of ethical AI principles - fairness, bias detection, explainability, and regulatory considerations (e.g., HIPAA in healthcare contexts)
- Demonstrated ability to manage multiple concurrent AI product initiatives in a fast-paced environment
- Proven ability to communicate AI product strategy and complex technical tradeoffs to executive and commercial audiences
- Demonstrated ability to partner with data science and engineering teams to define data requirements, evaluate model outputs, and make quality/accuracy tradeoffs
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
- MBA
- Bachelor's degree in engineering, computer science, data science, or related field
- 8+ years of experience in a product organization or product-related role with direct client or customer-facing responsibilities
- 3+ years hands-on experience building and shipping AI or ML-powered products with direct ownership of AI product outcomes
- 3+ years of AI/ML product leadership experience in healthcare, health tech, or enterprise SaaS
- Experience designing experiments (A/B tests, champion/challenger models) to validate AI product hypotheses
- Experience working in complex matrix organizations, multi-disciplinary teams, and cross-functional programs
- Experience with generative AI product development, including prompt engineering, RAG architectures, evaluation frameworks, and responsible deployment practices
- Deep, working knowledge of AI/ML concepts including supervised and unsupervised learning, NLP, generative AI, model evaluation, and MLOps
- Hands-on familiarity with AI tooling and platforms
- Keen understanding of the healthcare and technology marketplace, including competitors and trends in AI/ML adoption for payer and provider solutions
- Proven understanding of ethical AI principles: fairness, bias detection, explainability, and regulatory considerations (e.g., HIPAA)
- Demonstrated ability to manage multiple concurrent AI product initiatives in a fast-paced environment
- Proven ability to communicate AI product strategy and complex technical tradeoffs to executive and commercial audiences
- Demonstrated ability to partner with data science and engineering teams to define data requirements, evaluate model outputs, and make quality/accuracy tradeoffs
Optum Compensation & Benefits Highlights
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Healthcare Strength — Health coverage offers copay and HSA medical options with dental, vision, company‑paid life and disability, and free or low‑cost virtual visits. Feedback suggests the offering is comprehensive and competitive on paper.
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Parental & Family Support — Time off and family supports include PTO, eight paid holidays plus a floating day, six weeks paid parental leave, up to two weeks paid caregiver leave, Bright Horizons back‑up care, and adoption assistance up to $10,000. Feedback suggests these resources are meaningful for caregivers and family needs.
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Retirement Support — Savings programs include a 401(k) with employer match (after one year, vesting after two) and a 10%‑discount Employee Stock Purchase Plan. These programs bolster long‑term financial security when combined with other savings resources.
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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
