Senior AI - ML Engineer Location: Remote, United States Job Description: Requisition number: 2374940 Job category: Technology Primary location: Minnetonka, Minnesota Overtime status: Exempt Travel: No 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. In support of AI 10.0 Scaling and leveraging AI to apply processing rules directly from source documentation via enterprise assets, we're adding resources to our Claim Edit Hub team. This team will work to derive rules/edits directly from source documents (i.e. Policies) and expose them via Agentic workflow to make them accessible in a real time manner. This will also support our "shift left" strategy to enable claim edits/rules to be executed on Trial Claims to provide transparent cost estimates to Providers and Members. 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: - AI & Compliance - Building & Productionizing AI Systems (agentic services, APIs/SDKs, RAG/CAG, E2E pipelines) - Ensure Model Quality, Evaluation, Security & Safety - Implement Observability, Operations excellence - Drive Architecture, Governance & Engineering Standards - Cross Functional Leadership & Collaboration 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 of Science in computer science or related quantitative field - 3+ years in Programming & Packaging - Python (typing, pytest, packaging), SQL; shell for automation - 2+ years in Observability & Monitoring - SLOs for latency/cost/error; drift/skew detection - 2+ years in Model Registry, Experiment Tracking & A/B - Model registry (eg, Vertex AI Model Registry/MLflow); experiment tracking; canary/A B rollout - 2+ years in Responsible AI & Compliance - Explainability/fairness testing; PHI/PII handling; model cards; AIRB/RAI artifacts and audit ready evidence - 1+ years in GenAI & Agents - LLM evaluation methods; RAG pipelines; prompt/route registries; LangChain style orchestration - 1+ years in Serving & Inference - Batch/online endpoints, autoscaling; versioning and rollback strategies - 1+ years in Cloud Platforms - Public Cloud (Vertex AI, GPUs/TPUs), AWS/Azure AI services Preferred Qualifications: - Experience developing and deploying applications on AWS - Experience modernizing legacy systems using AI enabled microservices - Solid understanding of security, IAM, data protection, logging, monitoring, performance tuning, disaster recovery, and production operations *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 $120,100 - $214,500 annually based on full-time employment. We comply with all minimum wage laws as applicable. 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. #OptumTechPJ

• Define and evolve the technical architecture for Caseware’s AI platform, establishing architectural standards, contracts, and design principles that enable scalable, secure, reusable, and trustworthy AI capabilities across multiple teams. • Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic workflows, and AI-enabled services, including multi-agent systems, agent execution runtimes, workflow orchestration, memory management, and human-in-the-loop AI capabilities. • Design and implement evaluation, governance, auditability, and traceability frameworks that ensure AI systems are measurable, explainable, compliant, and continuously improving. • Translate advances in AI into practical, maintainable platform capabilities that solve real customer problems. • Influence technical direction through architecture reviews, RFCs, design discussions, and hands-on collaboration. • Evaluate emerging AI technologies, models, frameworks, and cloud capabilities. • Lead proof-of-concepts that inform platform strategy and future investments. • Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions. • Drive reliability, observability, monitoring, alerting, and incident response practices across AI systems and platforms. • Ensure systems are resilient, scalable, cost-effective, and operationally efficient in production environments. • Partner closely with Product, QA, Security, Domain SMEs, and Engineering teams to deliver business value. • Act as a trusted technical leader, helping teams succeed through collaboration, influence, and shared ownership. • Mentor engineers across teams and contribute to raising overall engineering maturity.

• Define and evolve the technical architecture for Caseware’s AI platform, following architectural standards, contracts, and design principles that enable scalable, secure, reusable, and trustworthy AI capabilities across multiple teams. • Design, build, and operate AI systems powered by LLMs, retrieval pipelines, agentic workflows, and AI-enabled services, including multi-agent systems, agent execution runtimes, workflow orchestration, memory management, and human-in-the-loop AI capabilities. • Design and implement evaluation, governance, auditability, and traceability frameworks that ensure AI systems are measurable, explainable, compliant, and continuously improving. • Evaluate emerging AI technologies, models, frameworks, and cloud capabilities. • Balance delivery speed, quality, maintainability, and long-term platform health when making technical decisions. • Drive reliability, observability, monitoring, alerting, and incident response practices across AI systems and platforms. • Ensure systems are resilient, scalable, cost-effective, and operationally efficient in production environments. • Partner closely with Product, QA, Security, Domain SMEs, and Engineering teams to deliver business value. • Act as a trusted software engineer, helping teams succeed through collaboration, influence, and shared ownership.

• Build AI agents, workflows, tools and automations that solve real customer, product and operations problems. • Apply LLMs, retrieval, tool calling, evaluations, guardrails and automation to practical financial workflows. • Create AI-assisted experiences for onboarding, support, KYC, risk review, CRM, operations, document handling and product intelligence. • Work with product and engineering teams to identify what is worth building, then build it quickly and improve it in production. • Design around real constraints: accuracy, hallucination risk, latency, cost, security, compliance and user trust. • Turn manual processes into reliable AI-enabled systems that can scale.