Senior Principal AI/ML Product Engineer- Full Stack

About UnitedHealth Group UnitedHealth Group is a health care and well-being company with a mission to help people live healthier lives and help make the health system work better for everyone. We are 340,000 colleagues in two distinct and complementary businesses working to help build a modern, high-performing health system through improved access, affordability, outcomes and experiences. Optum delivers care aided by technology and data, empowering people, partners and providers with the guidance and tools they need to achieve better health. UnitedHealthcare offers a full range of health benefits, enabling affordable coverage, simplifying the health care experience and delivering access to high-quality care. We work with governments, employers, partners and providers to care for 147 million people and share a vision of a value-based system of care that provides compassionate and equitable care. At UnitedHealth Group, our mission calls us, our values guide us and our diverse culture connects us as we seek to improve care for the consumers we are privileged to serve and their communities. Click below to search careers or join our social communities: • Search & apply for careers at careers.unitedhealthgroup.com/ • Follow us on Twitter at twitter.com/UnitedHealthGrp • Follow and like us on Facebook at facebook.com/unitedhealthgroup • Follow us on Instagram at instagram.com/unitedhealthgroup More about UnitedHealth Group can be found at unitedhealthgroup.com/

UnitedHealth Group

Health CareWellness and Health ManagementRetiree Solutionsand Information Technology

U

unitedhealthgroup.com

10,001+ employees

Hospitals and Health Care

Eden Prairie , Minnesota

Public Company

1.7M LinkedIn followers

Raised $7.6B

• Design, build, test, and deploy production software end to end, from backend services and data pipelines to the interfaces care teams and patients use
• Own how the team deploys: cloud infrastructure as code, continuous integration and deployment, environments, and release practices safe for software that touches patient care
• Build integrations that read from and write to electronic health records and care systems, including Epic, athenahealth, eClinicalWorks, and home care platforms, using FHIR, HL7, and vendor APIs, in partnership with the teams that own those systems
• Build AI agents and large language model features across the channels patients and staff already use, including SMS and voice, with the prompt and tool design, retrieval, and guardrails that keep an agent inside what it is approved to do
• Prototype against real systems in days, and take what works to production
• Build the shared foundation the team builds on with great Optum Health engineering teams: integrations, the deployment pipeline, and the evaluation harness
• Build evaluation into the product from the start: automated evaluations of model and agent behavior, tests that fail when behavior breaks, and monitoring for drift after launch. Measuring a non-deterministic system is a first-class engineering job on this team, not a testing afterthought
• Operate what you ship: instrumentation, alerting, incident response, and continuous improvement after launch
• Define "done" as proven: a change is complete when there is evidence it works, not when the code is merged, and report what did not work as quickly as what did
• Partner with technology, data, security, legal, privacy, compliance, care teams, and other stakeholders to deliver products that are responsible, secure, and enterprise-ready, protecting patient data by design through data minimization, access control, and audit
• Work with great Optum Health engineering teams to accelerate and augment each other's work, and write the documentation, tests, and runbooks another team needs to run what you built without you
• Set the team's engineering practices, including code review, AI-assisted development, and the evaluation standard, and improve them as the team grows
• Determine which technical decisions belong to a single market and which belong to the enterprise platform, and build accordingly
• Write down what the team learns each week so it is reviewed on cadence and turned into decisions.
• Raise the AI fluency of the market teams you work with by contributing to shared templates, evaluation bars, and a supported way to ship, so care teams can use and build with AI safely
• Own the team's technical architecture and the decisions that are expensive to reverse, and write each one down with what would change it
• 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

• 10+ years of professional software engineering experience shipping and operating production systems
• Experience in the healthcare industry and/or within a large, complex, matrixed organization.
• Full-stack experience: backend services, APIs, and data stores, and enough front-end or mobile to ship a complete product without waiting on another team
• Experience building and shipping a large language model application or agent to real users, and can explain how it was evaluated
• Ability to use AI coding and agent tools in your own work every day, and has built with them: an agent, automation, or large language model tool you designed, built, and ran, at work or as a personal project
• Demonstrated solid testing and operational discipline: automated tests, continuous integration, observability, and on-call ownership of what you ship
• Experience with owned cloud infrastructure and deployment for a production system: infrastructure as code, continuous integration and deployment, and security controls that pass an enterprise review
• Ability to work at the enterprise level and at a single market's level, and to tell which one a given decision belongs to
• Demonstrated clear writing skills: design decisions and findings on this team are written down where the next engineer will find them
• Ability working proficiency in GitHub, AI coding and agent tools, cloud platforms, and infrastructure as code
• Experience as a senior individual contributor, hands-on: writes production code every day and owns hard problems end to end, working across functions to deliver them
• Ability to be a technical owner of a system other engineers built on, including its architecture and the decisions that were hard to reverse
• Building with AI: uses agents and automation to do the job, not only to describe it
• End-to-end product engineering and deployment
• Healthcare systems integration: FHIR, HL7, and electronic health record APIs
• Evaluation and measurement of AI systems
• Operational ownership and reliability
• Security and privacy by design
• Enterprise and market-level judgment
• Partnership with Optum Health engineering teams
• Technical writing and documentation
• Technical architecture and platform ownership
• All employees working remotely will be required to adhere to UnitedHealth Group’s Telecommuter Policy.
• Pay 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 $184,600 - $316,500 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.
• UnitedHealth Group and its affiliated brands are a drug-free workplace. Candidates are required to pass a drug test before beginning employment.

Preferred

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience
• Experience with healthcare data and integration: FHIR, HL7, SMART on FHIR, or Epic, athenahealth, or eClinicalWorks APIs
• Experience building on HIPAA-regulated systems handling protected health information
• Experience with evaluation frameworks for large language model systems, including building evaluation sets with domain experts
• Production experience with voice or SMS agents
• Experience taking an AI capability through an enterprise governance or review process in healthcare
• Experience on a small, early-stage product team where engineers owned the whole stack

• Comprehensive benefits package
• Incentive programs
• Recognition programs
• Equity stock purchase
• 401k contribution