The Role
Leads end-to-end development and production operation of enterprise AI/ML solutions, including Generative AI, LLMs, RAG pipelines, agentic workflows, chatbots, and predictive analytics. Designs Azure cloud-native architectures, backend APIs, orchestration services, and frontend integrations. Champions MLOps, responsible AI, security, observability, testing, and operational excellence while evaluating model performance and risks. Partners with cross-functional teams, mentors engineers, and communicates technical decisions to stakeholders.
Summary Generated by Built In
Requisition Number: 2374005
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:
Required Qualifications:
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.
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:
- Lead the design, development, testing, deployment, maintenance, and continuous improvement of AI/ML solutions, translating models and algorithms into scalable, secure, reliable software used in enterprise systems
- Serve as the technical lead for complex AI/ML initiatives, owning end-to-end implementation from solution design through production deployment, monitoring, operational support, and ongoing optimization
- Build responsible AI solutions and reusable service components that comply with enterprise security, privacy, quality, ethical, regulatory, and responsible AI standards
- Develop AI/ML-enabled features and capabilities, including Generative AI, predictive analytics, automation, chatbots, conversational AI, and other intelligent workflow solutions
- Champion AI/MLOps best practices to ensure models, pipelines, services, and orchestration layers are production-ready, monitored, observable, resilient, and continuously improved
- Drive modern engineering practices across teams, including automation-first development, code reuse, observability, test automation, CI/CD, operational excellence, and AI DLC adoption for AI systems
- Partner with product management, architects, engineering leadership, and broader technology teams to deliver creative, scalable AI solutions aligned to business objectives, enterprise AI strategy, and engineering best practices
- Create and maintain comprehensive solution architecture, integration, and network architecture diagrams for AI/ML solutions and related service components
- Enforce and promote enterprise security, privacy, compliance, and quality standards within AI/ML solutions, proactively identifying and mitigating technical, operational, data, and model-related risks
- Accountable for high-quality software deliverables, including maintainable code, reliable services, clear documentation, production readiness, and measurable operational outcomes
- Mentor, guide, and train engineers and team members on AI/ML technologies, engineering patterns, frameworks, MLOps, and responsible AI practices
- Use enterprise-approved AI tools to streamline engineering workflows, automate repeatable tasks, improve delivery efficiency, and support continuous improvement across teams
- Collaborate with cloud, platform, and modernization teams to integrate AI capabilities into cloud-native, digital-first, and enterprise-scale technology solutions
- Exercise independent judgment to prioritize, plan, and manage AI-related engineering activities, dependencies, risks, and delivery commitments
- Communicate complex AI/ML concepts, solution options, technical tradeoffs, risks, and results clearly to technical teams, business stakeholders, and senior leadership
- Evaluate emerging AI/ML technologies, frameworks, patterns, and industry trends to inform solution design, optimize architecture, and drive practical enterprise innovation
- Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Required Qualifications:
- Bachelor's degree in Computer Science or related technical field
- 7+ years of software engineering experience and using Python, Java, Scala, or similar programming languages
- 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models, Design, build, and deploy LLM powered solutions, including RAG pipelines, agentic workflows, decisioning agents, and orchestration layers
- Experience in the healthcare industry
- Experience or knowldge in Architect cloud native solutions on Azure
- Full-stack engineering experience
- Solid experience with Chatbots, conversational AI, and NLP-based solutions
- Solid knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
- Proven ability to design and build end to end AI services including backend APIs, orchestration services, and UI integrations for claims users and operations teams
- Proven ability to develop scalable backend services using Java (Spring Boot) and modern API frameworks
- Proven ability to build and integrate web applications using modern frontend frameworks (React or equivalent) where needed for AI driven user experiences
- Proven ability to develop AI components leveraging Azure public cloud, foundation models, embeddings, vector stores, and prompt engineering best practices, Solid experience, with deep backend expertise in Python, Java and REST/GraphQL APIs
- Proven ability to implement agent based architectures (AgentCore / agentic cloud patterns) to support complex claims workflows such as adjudication assistance, exception handling, and HITL (human in the loop) scenarios
- Proven ability to continuously evaluate model performance, hallucination risks, explainability, and operational metrics in production
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 degree in Computer Science or a related technical field
- 7+ years of software engineering experience using Python, Java, Scala, or similar programming languages
- 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional machine learning models
- Experience designing, building, and deploying LLM-powered solutions, including RAG pipelines, agentic workflows, decisioning agents, and orchestration layers
- Experience in the healthcare industry
- Experience or knowledge architecting cloud-native solutions on Azure
- Full-stack engineering experience
- Experience with chatbots, conversational AI, and NLP-based solutions
- Knowledge of security, access controls, logging, monitoring, performance tuning, disaster recovery, and production operations
- Ability to design and build end-to-end AI services including backend APIs, orchestration services, and UI integrations
- Experience developing scalable backend services using Java, Spring Boot, and modern API frameworks
- Experience building and integrating web applications using React or equivalent modern frontend frameworks
- Experience developing AI components using Azure public cloud, foundation models, embeddings, vector stores, and prompt engineering
- Deep backend expertise in Python, Java, REST, and GraphQL APIs
- Ability to implement agent-based architectures for complex claims workflows, including human-in-the-loop scenarios
- Ability to evaluate model performance, hallucination risks, explainability, and operational metrics in production
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.
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The Company
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.
Typical time on-site:
Not Specified
