AI/ML Engineer

Join Optum Insight

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.

You'll enjoy the flexibility to telecommute* from anywhere within the U.S. as you take on some tough challenges.

Primary Responsibilities:

• Design, develop, and deploy AI-powered solutions, digital workers, and intelligent automation capabilities that drive measurable business outcomes and operational efficiency
• Rapidly prototype, validate, and scale emerging AI technologies (Generative AI, Agentic AI, automation, orchestration, and analytics) to address enterprise transformation opportunities
• Partner with business, architecture, engineering, and operations teams to identify high-value use cases and translate them into production-ready AI solutions
• Establish and promote AI engineering best practices, reusable frameworks, governance standards, and responsible AI controls to accelerate enterprise adoption
• Evaluate disruptive technologies, drive innovation pilots, and build strategic capabilities that position the organization for future-state digital operations

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear directions 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 or Master's degree in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related technical discipline
• 5+ years of experience in software engineering. Proven track record developing APIs, microservices, cloud-native architectures, CI/CD pipelines, DevSecOps, and observability
• 5+ years working on teams using agile and lean coding methodologies, such as pair or mob programming
• 3+ years of experience building solutions on a Python stack. Hands-on experience with core AI capabilities, such as generative AI, agentic AI, LLMs, vector databases, embeddings, semantic search, and knowledge retrieval
• 2+ years experience integrating AI solutions with enterprise platforms, business workflows, data platforms, and operational systems to deliver measurable business outcomes
• Strong communication skills for cross-functional collaboration and stakeholder interactions

Preferred Qualifications:

• Familiarity with MLOps tools and workflows for monitoring prediction accuracy, detecting feature drift, and assessing ongoing model fit and/or degradation

*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). The salary for this role will range from $72,800 to $130,000 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.

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.