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.
Primary Responsibilities:
- Serve as a hands-on individual contributor building and supporting AI/ML capabilities for the Behavioral Health portfolio
- Workflows, APIs, data pipelines, automated testing, and production-ready components that enable scalable AI-powered business solutions
- Develop assigned components under the technical direction of Lead and Senior AI engineers
- Focus on coding, model integration, prompt development, automated testing, data processing, deployment, and production support
- Contribute reusable components across BH UM Modernization, BH Provider Digital Agentic AI, ABA AI, ABA Oversight and Supervision, and Provider Health Dashboard.
- Grow into broader feature ownership as technical expertise and business-domain knowledge develop
- Develop, test, and maintain AI/ML services, large language model workflows, APIs, data pipelines, and application components
- Implement prompts, RAG pipelines, embeddings, vector retrieval, structured outputs, tool integrations, and agent workflows
- Build document-processing capabilities including ingestion, classification, extraction, chunking, summarization, and evidence identification
- Develop model-evaluation scripts, automated tests, regression suites, and data-quality checks.
- Support integration of AI services with provider portals, dashboards, UM applications, clinical systems, and enterprise data platforms
- Write clean, secure, maintainable, and well-tested Python code
- Participate in design discussions, code reviews, sprint demonstrations, defect resolution, and release activities
- Monitor AI services and investigate prompt, model, data, performance, and integration issues
- Create technical documentation for code, APIs, prompts, data mappings, evaluation results, and deployment processes
- Follow responsible AI, privacy, security, compliance, and human-review requirements
- Use AI-assisted development tools throughout requirements, coding, testing, documentation, and troubleshooting
- Collaborate effectively across engineering, product, data, operations, and business teams
- Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements
Required Qualifications:
- Bachelor's or master's degree in computer science, AI/ML, data science, engineering, or a related field
- 8+ years of hands-on software development experience using Java, SQL, Git, APIs, and automated testing
- 5+ years of software engineering experience
- 2+ years of experience in developing and supporting AI/ML applications, LLM
- Experience building applications with large language models, prompt engineering, RAG, vector databases, or agent frameworks
- Working knowledge of machine learning, natural language processing, embeddings, transformers, and model evaluation
- Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, or equivalent technologies
- Familiarity with cloud platforms, Docker, Kubernetes, CI/CD, logging, and application monitoring
- Understanding of secure coding, data privacy, model traceability, responsible AI, and human-in-the-loop design
- Proven solid analytical, debugging, collaboration, and technical-documentation skills
- Proven willingness to learn Behavioral Health, utilization management, ABA, provider operations, and healthcare compliance workflows
- Proven ability to work effectively within cross-functional and distributed delivery teams
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.
Skills Required
- Bachelor's or master's degree in computer science, AI/ML, data science, engineering, or a related field
- 8+ years of hands-on software development experience using Java, SQL, Git, APIs, and automated testing
- 5+ years of software engineering experience
- 2+ years of experience developing and supporting AI/ML applications and large language models
- Experience building applications with large language models, prompt engineering, RAG, vector databases, or agent frameworks
- Working knowledge of machine learning, natural language processing, embeddings, transformers, and model evaluation
- Familiarity with PyTorch, TensorFlow, scikit-learn, Hugging Face, LangChain, LangGraph, Semantic Kernel, or equivalent technologies
- Familiarity with cloud platforms, Docker, Kubernetes, CI/CD, logging, and application monitoring
- Understanding of secure coding, data privacy, model traceability, responsible AI, and human-in-the-loop design
- Strong analytical, debugging, collaboration, and technical-documentation skills
- Willingness to learn behavioral health, utilization management, ABA, provider operations, and healthcare compliance workflows
- Ability to work effectively within cross-functional and distributed delivery teams
Optum Compensation & Benefits Highlights
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Leave & Time Off Breadth — Paid time off is often regarded as generous, with meaningful accrual and flexibility to use it. While practices can vary by team, the overall time-off offering stands out as a relative strength.
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Retirement Support — A 401(k) plan with employer matching is available and generally well-regarded for supporting long-term savings. It remains valuable, though candidates should verify the current match formula.
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Parental & Family Support — Programs such as parental leave, family medical leave, and adoption assistance are included as notable elements of the total rewards package. These resources can meaningfully support work-life balance when applicable to the role and location.
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.