Senior Manager AI/ML Engineering - Remote

Optum

Senior Manager AI/ML Engineering - Remote

Posted Yesterday

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Hiring Remotely in San Francisco CA USA

In-Office or Remote

149K-255K Annually

Senior level

Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics

The Role

Lead and grow an AI/ML engineering team delivering agentic reusable AI services for healthcare payment integrity and clinical operations. Drive platform design cloud-based deployment CI/CD/DevSecOps production observability ethical AI practices cross-functional partnership and repeatable customer deployments.

Summary Generated by Built In

Requisition Number: 2364073
Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
You will join a collaborative AI Platform team building a payer-focused agentic platform that orchestrates data models and workflows to support complex healthcare operations. In this role you will provide critical onshore leadership for AI platform execution and forward deployment across Payment Integrity and Optum Real ensuring secure scalable delivery of reusable AI services. The team designs and delivers intelligent agent-driven applications that review and reason over clinical and administrative data evaluate AI outputs and automate decision workflows while ensuring our production systems are reliable scalable and continuously improving.
By applying AI to agentic workflows deployment automation and production observability in customer environments you will help accelerate delivery reduce risk enable platform reuse and drive repeatable revenue. We have the data and resources to make an impact on a massive scale; when our solutions are deployed they process millions of clinical data elements and benefit millions of patients. We are a globally distributed and diverse organization with a shared passion to improve patient outcomes enhance healthcare operations and streamline payments. We pay close attention to detail to ensure we deliver high quality the first time.
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:

Provide strategic and technical leadership for AI platform execution and forward deployment across Payment Integrity and Optum Real ensuring secure reliable and scalable delivery of reusable AI services
Lead and inspire a high-performing team of AI/ML engineers and senior staff fostering a culture of trust ownership product quality and consistent execution excellence while setting clear AI development goals within team plans
Champion AI as a core driver of team success strategically designing developing and deploying AI-powered solutions to address complex clinical and administrative healthcare challenges and deliver measurable business value
Strategically design and deliver intelligent agentic workflows and agent-driven applications that review and reason over clinical and administrative data in customer environments
Drive engineering and operational excellence across the full development lifecycle by applying AI to deployment automation robust automated testing continuous integration and production observability in customer environments
Leverage and integrate enterprise-approved AI tools to streamline engineering workflows automate routine developer tasks and drive continuous operational improvement
Champion the ethical use of AI across all projects proactively embedding transparency fairness and accountability throughout the entire AI lifecycle of reusable services
Partner cross-functionally with product managers customer integration teams senior stakeholders and enterprise leaders to represent the engineering vision accelerate platform reuse and drive repeatable revenue

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:

Bachelor's degree in Computer Science Software Engineering Information Technology Mathematics Statistics or a related quantitative field or 4+ additional years of equivalent software engineering experience in lieu of a degree
12+ years of experience in Software Engineering Data Science or Analytics with 3+ years dedicated to AI/ML engineering or related fields
3+ years of experience directly managing coaching and developing engineering teams of 5+ people including senior engineers
Demonstrated experience leading and managing AI/ML projects from initial ideation and development through to customer-facing production delivery deployment and evaluation
Technical experience with major cloud platforms (AWS Azure or GCP) and containerization/orchestration tools (Docker Kubernetes)
Experience with DevSecOps automated CI/CD practices (e.g. Git Jenkins) and proficiency in Python or other programming languages for data analysis and AI/ML development

Preferred Qualifications:

Master's or Ph.D. in Computer Science Data Science Artificial Intelligence or a related quantitative field
2+ years of hands-on experience with Generative AI technologies including large language models (LLMs like OpenAI Claude Gemini) LangChain AI Agents Retrieval-Augmented Generation (RAG) Vector Databases Prompt Engineering and model fine-tuning
Experience applying AI to agentic workflows deployment automation and production observability (e.g. model monitoring logging and performance tracking)
Experience in establishing and enforcing AI/ML engineering best practices design standards and ethical guidelines
Experience in Payment Integrity clinical operations or healthcare claim systems
Experience managing or working with a mixed team both onshore and offshore

Pursuant to the San Francisco Fair Chance Ordinance we will consider for employment qualified applicants with arrest and conviction records
*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 $148900 to $255300 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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Skills Required

Bachelor's degree in Computer Science Software Engineering Information Technology Mathematics Statistics or related field or 4+ additional years equivalent software engineering experience in lieu of a degree
12+ years experience in Software Engineering Data Science or Analytics with 3+ years dedicated to AI/ML engineering or related fields
3+ years directly managing coaching and developing engineering teams of 5+ people including senior engineers
Experience leading AI/ML projects from ideation through customer-facing production delivery deployment and evaluation
Technical experience with major cloud platforms (AWS Azure or GCP) and containerization/orchestration tools (Docker Kubernetes)
Experience with DevSecOps automated CI/CD practices (e.g. Git Jenkins) and proficiency in Python or other programming languages for data analysis and AI/ML development
Master's or Ph.D. in Computer Science Data Science Artificial Intelligence or related quantitative field
2+ years hands-on experience with Generative AI technologies including LLMs (OpenAI Claude Gemini) LangChain AI Agents RAG Vector Databases Prompt Engineering and model fine-tuning
Experience applying AI to agentic workflows deployment automation and production observability (model monitoring logging performance tracking)
Experience establishing and enforcing AI/ML engineering best practices design standards and ethical guidelines
Experience in Payment Integrity clinical operations or healthcare claim systems
Experience managing or working with mixed onshore and offshore teams

What the Team is Saying

Optum Compensation & Benefits Highlights

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.
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 $10000. Feedback suggests these resources are meaningful for caregivers and family needs.
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

HQ: Eden Prairie MN

160000 Employees

Year Founded: 2011

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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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

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