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.
As a Lead AI/ML Engineer within Optum Technology, you will lead the architecture, design, and implementation of high-performance, event-driven backend systems and intelligent automation solutions supporting distributed clinical systems. You will collaborate with cross-functional technology and data teams to deliver secure API solutions, build robust data integration pipelines, automate CI/CD deployments, and establish end-to-end observability. This role offers the opportunity to leverage innovative cloud, streaming, and backend technologies to drive meaningful health outcomes at enterprise scale.
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, development, and deployment of scalable backend services and AI/ML system integrations across distributed clinical applications
- Build event-driven backend components using Apache Kafka and integrate with relational databases (Oracle, PostgreSQL, MySQL) utilizing Spring Data JPA and Hibernate
- Apply deep expertise in API security protocols, including OAuth 2.0, JWT, and OAuth Client Credentials, to secure enterprise microservices and endpoints
- Lead CI/CD pipeline automation, containerization, and cloud deployment strategies using Docker, Kubernetes, and cloud infrastructure (AWS/Azure)
- Establish end-to-end monitoring, logging, and performance observability across distributed clinical systems using Splunk, ELK, Prometheus, and Grafana
- Drive engineering best practices, design reviews, code quality standards, and continuous technical improvement across the engineering team
- Collaborate with data scientists, software engineers, and product stakeholders to operationalize intelligent solutions into production environments
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:
- 7+ years of experience in AI/ML engineering, software engineering, data engineering, or automation engineering, with hands-on experience delivering production-grade solutions
- 3+ years of experience building solutions using Large Language Models (LLMs), generative AI, prompt engineering, or retrieval- augmented- systems (RAG)
- 3+ years of experience building event-driven backend components using Apache Kafka
- 3+ years of experience working with relational databases (Oracle, PostgreSQL, or MySQL) using Spring Data JPA and Hibernate
- 3+ years of hands-on experience implementing API security protocols, including OAuth 2.0, JWT, and OAuth Client Credentials
- 2+ years of experience developing agentic AI systems, including multi-step reasoning workflows, task orchestration, or tool-calling agents
- Hands-on experience with modern AI orchestration frameworks (e.g., LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or cloud- native AI services).
- Experience deploying scalable AI solutions within cloud environments(e.g., Azure, AWS, GCP) using microservices, containers, or serverless architectures
Preferred Qualifications:
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- Experience integrating machine learning models or AI services into enterprise Java microservices
- Experience working in Agile/Scrum team environments
- Knowledge of MLOps principles, model tracking, and deployment pipelines
- Familiarity with healthcare data standards (e.g., FHIR, HL7) and HIPAA security practices
*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 $145,500 - $249,500 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
- 7+ years of experience in AI/ML engineering, software engineering, data engineering, or automation engineering, delivering production-grade solutions
- 3+ years of experience with Large Language Models, generative AI, prompt engineering, or retrieval-augmented systems
- 3+ years of experience building event-driven backend components using Apache Kafka
- 3+ years of experience with Oracle, PostgreSQL, or MySQL using Spring Data JPA and Hibernate
- 3+ years of hands-on experience implementing OAuth 2.0, JWT, and OAuth Client Credentials
- 2+ years of experience developing agentic AI systems, including reasoning workflows, task orchestration, or tool-calling agents
- Hands-on experience with AI orchestration frameworks such as LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, CrewAI, or cloud-native AI services
- Experience deploying scalable AI solutions in AWS, Azure, or GCP using microservices, containers, or serverless architectures
- Bachelor's or Master's degree in Computer Science, Software Engineering, or a related technical field
- Experience integrating machine learning models or AI services into enterprise Java microservices
- Experience working in Agile/Scrum environments
- Knowledge of MLOps principles, model tracking, and deployment pipelines
- Familiarity with healthcare data standards such as FHIR and HL7 and HIPAA security practices
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.