Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.
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, benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities.
As an AI/ML Engineer at Optum AI, you'll be designing and developing AI systems to improve patient care.
About the AI Platform Team
We often deliver the entire solution, from healthcare data ingest, generative agents and AI models deployment, data extraction, agent/model results and analytics, to the applications used for reviewing clinical data and AI results. Our current projects involve both leveraging and building cutting edge Generative AI and Agentic AI technologies from scratch.
We have the data and resources to make an impact on a scale. When our solutions are deployed, they benefit millions of people.
We are a globally distributed and diverse team with the shared passion to improve patient outcomes, improve healthcare operations, and streamline payments.
We pay attention to the details to make sure we deliver 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 for a minimum of four days per week.
Primary Responsibilities:
- Contribute to the design and hands-on implementation of the AI/ML platform that enables Optum to derive information from patient data in a scalable, reliable, and cost-effective manner
- Partner with product managers, data scientists, prompt designers, engineers, and business stakeholders to translate business requirements into scalable AI systems
- Leverage AI assisted tools for design, implementation, code reviews, and testing
- Ensure the delivery of high-quality, maintainable, and efficient code and specifications.
- Help drive architectural decisions and contribute to our long-term technical strategy for AI/ML systems
- Partner with cross-functional teams to define scope, success criteria, and delivery milestones, then execute with solid engineering rigor through CI/CD, environment readiness, and quality gates to deliver on schedule without compromising reliability or maintainability
- Stay ahead of the curve on emerging AI/ML technologies, tools, and research, and evaluate their applicability to business problems. Embrace and promote a culture of innovation through rapid iteration, experimentation and data driven decision-making
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 or related field, or 2+ years of equivalent experience
- 2+ years of experience in Python programming
- 2+ years of hands-on experience in modern cloud infrastructure (AWS, Azure or Google. GCP is a plus)
- 2+ years of experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
- 1+ years of experience leveraging Large Language Models (LLMs)
- Proven track record of engaging with customers to design and deliver at least one complete AI product, from ideation to product release
Preferred Qualifications:
- Proven solid knowledge and hands-on experience of CI/CD principles
- Proficient with GitHub and GitHub Actions, artifact and dependency management, containerization using Docker, and infrastructure-as-code using Terraform to enable reliable, repeatable, and secure deployments
- Experience with the challenges of delivering and monitoring LLM based cloud systems into production
- Experience in Healthcare
- Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
- Demonstrated bias for action
- Demonstrated passion for innovation and staying current with emerging AI/ML trends
*All Telecommuters 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 $98,750 to $176,000 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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.
Diversity creates a healthier atmosphere: UnitedHealth Group is an Equal Employment Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, protected veteran status, disability status, sexual orientation, gender identity or expression, marital status, genetic information, or any other characteristic protected by law.
UnitedHealth Group is a drug-free workplace. Candidates are required to pass a drug test before beginning employment.
#RPO, #GREEN
Skills Required
- Bachelor's degree in Computer Science or a related field, or 2+ years of equivalent experience
- 2+ years of experience in Python programming
- 2+ years of hands-on experience with modern cloud infrastructure such as AWS, Azure, or Google Cloud Platform
- 2+ years of experience with AI/ML infrastructure, tools, and platforms across the AI/ML technology stack
- 1+ years of experience leveraging large language models
- Experience designing and delivering at least one complete AI product from ideation through product release
- Knowledge and hands-on experience with CI/CD principles
- Experience with GitHub, GitHub Actions, artifact and dependency management, Docker, and Terraform
- Experience delivering and monitoring LLM-based cloud systems in production
- Experience in healthcare
- Strong communication skills for explaining complex technical concepts to diverse audiences
- Bias for action and passion for innovation and emerging AI/ML trends
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.
Optum Insights
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.