Director of AI/ML Engineering Remote Nationwide or Hybrid in MN/DC at Universal Health Group

Eden Prairie, Minnesota, United States -

Full Time

Start Date

Immediate

Expiry Date

16 Jul, 26

Salary

230800.0

Posted On

17 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI/ML Engineering, Data Engineering, Machine Learning, Deep Learning, GenAI, LLMs, RAG, Agentic AI, MLOps, Healthcare Claims, Observability, Data Pipelines, Leadership, Strategic Planning, Process Mining, Operational Analytics

Industry

Hospitals and Health Care

Description

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. The AI/ML Engineering team within Optum Health Claims, part of Optum Technology, is redefining how healthcare claims are processed at massive scale. This team sits at the intersection of claims platforms, data engineering, observability, and applied AI, driving the transition from manual, rules‑driven operations to intelligent, touchless, and self‑healing claims systems. As Director of AI/ML Engineering, you will lead a transformation agenda, growing, high‑impact team responsible for building enterprise‑grade AI platforms, claims data pipelines, and operational intelligence capabilities that support tens of millions of claims annually. Your charter spans traditional ML, modern AI techniques, and automation, applied directly to real operational problems—reducing rework, improving accuracy, lowering SG&A, and accelerating outcomes. You will partner closely with claims engineering, product, data, operations, enterprise architecture, and business leaders across Optum and UnitedHealth Group. The work is hands‑on, highly visible, and outcome‑driven-ideal for a leader excited to build AI as a fabric across healthcare operations, not just models in isolation. The team operates at enterprise scale, with strong executive sponsorship, mature production platforms, and a mandate to innovate. If you are energized by turning complex data and workflows into measurable operational advantage, this role offers the opportunity to lead meaningful transformation in one of the most critical domains in healthcare. You’ll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week. Primary Responsibilities: Lead the design and execution of AI/ML engineering strategy for claims platforms, aligned with business outcomes Build and operationalize enterprise data pipelines across multiple claims systems Develop and scale observability and operational intelligence suites that surface manual work, rework, exceptions, and automation opportunities Apply traditional ML, advanced AI, and intelligent automation to reduce manual claims processing and improve accuracy Partner with engineering, product, data, and operations leaders to embed AI directly into end‑to‑end claims workflows Establish engineering standards, MLOps practices, and responsible AI patterns for production systems Mentor and grow senior engineers and AI practitioners in a high‑expectation, high‑impact environment 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 Qualifications: 6+ years of hands on experience with traditional ML techniques (e.g., regression, tree based models, NLP, classical optimization) and modern AI approaches (deep learning, GenAI/LLMs, RAG, agentic AI systems) 5+ years of deep experience in data engineering, including data quality management, feature pipelines, analytical pipelines, and ML data readiness at scale 5+ years of experience leading and scaling engineering teams (typically 10–40+ engineers/data scientists) delivering production AI/ML systems with clear ownership of reliability, cost, performance, and business outcomes 4+ years of proven ability to translate complex operational problems into production grade, scalable AI/ML solutions embedded in enterprise workflows 3+ years of solid, hands on experience with claims platforms or core transaction systems, with healthcare claims domain experience (e.g., adjudication, EDI, pricing, edits, payment integrity, post pay analytics) Preferred Qualifications: Experience applying AI/ML to large scale operational workflows (claims, payments, servicing, or similar domains) Experience building AI solutions with governance, compliance, and reliability in mind Familiarity with cloud based AI/ML platforms and enterprise integration patterns Proven exposure to observability, process mining, or operational analytics platforms Proven solid executive communication skills with a track record of delivering measurable business impact *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 $134,600 to $230,800 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. 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. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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Responsibilities

Lead the design and execution of AI/ML engineering strategies for claims platforms to drive operational efficiency and automation. Partner with cross-functional teams to embed AI into end-to-end workflows while establishing engineering standards and mentoring senior staff.