• Design, develop, and deploy scalable AI-powered applications and services. • Translate ambiguous business problems into robust technical solutions. • Build and maintain backend systems, APIs, integrations, and AI workflows. • Collaborate across frontend, backend, cloud, and AI initiatives to deliver end-to-end solutions. • Rapidly prototype and iterate on AI-driven products and internal accelerators. • Contribute to architecture decisions, engineering standards, and reusable system patterns. • Mentor junior engineers and support technical growth across the team. • Drive improvements in scalability, reliability, performance, and developer experience. • Work closely with stakeholders to balance business needs, technical trade-offs, and delivery timelines. • Continuously evaluate and adopt emerging AI tools, frameworks, and engineering practices.

• Architect AI Agents that use Tools and Skills including instantiation of MCP clients and servers. • Architect scalable end-to-end Retrieval-Augmented Generation (RAG) pipelines including data ingestion, document processing, and promoting generation. • Increase model serving layers and high-throughput data processing pipelines, employing advanced libraries to ensure ultra-low latency and efficient resource use. • Design and implement secure system architectures for all new AI products ensuring compliance with data governance and security policies. • Understand how to use Terraform for provisioning and manage Azure infrastructure-as-code. • Support automated and reproducible Continuous Integration/Continuous Deployment (CI/CD) pipelines.

• Lead the end‑to‑end application architecture for IFS Cloud across Projects, FSM, Resource Management, Manufacturing and Finance. • Define and govern IFS Cloud reference architectures, design patterns, and guardrails, aligned with Evergreen and SaaS operating principles. • Promote a configuration‑first mindset, minimizing customization and ensuring long‑term maintainability. • Translate business and operational requirements into scalable, secure, and supportable IFS Cloud solutions. • Define environment strategies across DEV, TEST, and PROD, supporting secure delivery and operational stability. • Design extension strategies using standard IFS capabilities (APIs, Business Events, projections, external services). • Ensure non‑functional requirements, performance, availability, security, and resilience are built into solution designs. • Architect and enable AI use cases, including embedded IFS AI offerings: Service planning and scheduling optimization, Demand forecasting and anomaly detection • Design AI‑augmented business processes, promoting AI insights directly into operational workflows. • Ensure people trust AI recommendations through human-in-the-loop decisioning. Define feedback loops to monitor outcomes and improve AI‑enabled capabilities. • Architect end-to-end integration solutions between IFS Cloud and upstream CRM platforms, such as lead-to-order, service demand, and contract lifecycle. • Design event‑triggered integration architectures using IFS Business Events as the primary mechanism for integrations. • Ensure systems integrate through the common model rather than point‑to‑point mappings, improving scalability and maintainability. • Promote loose coupling between IFS Cloud and external systems to support Evergreen upgrades and platform evolution. • Support enterprise reporting, and advanced analytics by ensuring data accuracy and lineage. Collaborate with analytics and data platform teams to align IFS data structures with enterprise BI, AI, and machine learning initiatives.

Requisition Number: 2330205 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. Optum AI is UnitedHealth Group's enterprise AI team. We are AI/ML scientists and engineers with deep expertise in AI/ML engineering for health care. We develop AI/ML solutions for the highest impact opportunities across UnitedHealth Group businesses including UnitedHealthcare, Optum Financial, Optum Health, Optum Insight, and Optum Rx. In addition to transforming the health care journey through responsible AI/ML innovation, our charter also includes developing and supporting an enterprise AI/ML development platform. Optum AI team members: - Have impact at scale: We have the data and resources to make an impact at scale. When our solutions are deployed, they have the potential to make health care system work better for everyone - Do ground-breaking work: Many of our current projects involve cutting edge ML, NLP and LLM techniques. Generative AI methods for working with structured and unstructured health care data are continuously being developed and improved. We are working in one of the most important frontiers of AI/ML research and development - Partner with world-class experts on innovative solutions: Our team members are developing novel AI/ML solutions to business challenges. In some cases, this includes the opportunity to file patents and publish papers about the methods we develop. We also collaborate with AI/ML researchers at some of the world's top universities As a Senior AI/ML Software Engineer, you will be responsible for the design and implementation of cutting-edge AI/ML systems for real-world healthcare challenges at Optum; including problems around improving patient engagement through smart nudging, predicting onset and progression of disease, Large Language Model solutions for summarizing large scale patient information, and optimizing clinical trials using both structured and unstructured (text) data. As a senior engineer in charge of AI systems, you will apply state-of-the-art approaches for MLOps to ensure the performance, scalability and reliability of machine learning models serving our customers and build data pipelines that deliver real-time insights. 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: - Own the inference and delivery of machine learning insights to multiple customers - Manage, monitor, and scale machine learning systems, delivering insights to multiple customers - Partner with cross-functional engineering teams to implement scalable, flexible pipelines that bring AI innovations into real-world products - Work with large-scale data and distributed computing frameworks to process and analyze high-volume healthcare datasets efficiently - Drive pipeline efficiency and reliability through profiling, refactoring and advanced engineering - Develop new data pipelines to improve ML model usage 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 - 5+ years of professional software engineering experience, with at least 3+ years building and operating production ML systems - Expert-level Python experience, including writing production-grade, testable, and maintainable code - Hands-on experience building and deploying APIs using FastAPI (or similar Python web frameworks) in a production environment - Solid experience deploying, managing, and scaling services in Kubernetes, including: - Containerization (Docker) - Helm or equivalent deployment tooling - Resource tuning, autoscaling, and failure recovery - Proven experience with MLOps practices, including: - Model deployment and versioning - Monitoring model performance, drift, and system health Preferred Qualifications: - Experience with AzureML, DataBricks, and Azure Kubernetes - Experience with distributed computing approaches - Expertise in ML Ops, for example, model monitoring, drift detection, and event-based model retraining - Proven solid technical communication skills - Proven ability and drive to learn independently - Proven problem-solving and analytical thinking - Proven ability to explain technical decisions to stakeholders *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 $91,700 to $163,700 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.