• Shape AI engagement plans in key accounts, partnering with account teams and senior customer stakeholders. • Clarify customer AI goals and challenges and translate them into actionable roadmaps. • Help design or improve AI operating models and governance so proofs of value can become production solutions. • Align stakeholders across business, IT, data, and risk functions around AI priorities and decisions. • Represent Dell’s AI Factory strategy in executive discussions, together with Enterprise Architects and Sales leaders. • Lead or co-lead AI discovery, problem framing, and diagnosis with customer teams to uncover blockers to AI adoption and value realization. • Co-design AI operating models and governance (roles, decision rights, pilot-to-production processes) that support secure, compliant scaling of AI use cases. • Drive stakeholder alignment by mapping decision makers, facilitating workshops, and maintaining clear engagement cadences. • Partner with AI Architects and AI Data Specialists to define scope, success criteria, and readiness for AI proofs of value and production rollouts. • Define adoption and enablement approaches (change management, training, AI champions, communities of practice) that build long-term customer capability. • Coordinate FDE Unit engagement rhythms (checkpoints, steering sessions, risk reviews) with customer programs and Dell account leadership. • Provide feedback to Dell AI Factory offers and playbooks based on field experience and common customer patterns. • Mentor less experienced team members on AI governance, organizational change, and engagement best practices.

• Design, build, and maintain robust AI/ML solutions to ensure reliable decision-making across the enterprise • Sustain AI enterprise offerings by orchestrating workflows and monitoring the overall health of AI solutions to ensure continuous availability and performance • Create, update, and optimize AI models, datasets, and transformations to align with business needs • Troubleshoot and resolve issues, ensuring consistent and correct data flow from source systems • Collaborate with cross-functional teams to uphold security standards and ensure accurate data is available for use • Utilize AI/ML frameworks (e.g., PyTorch, TensorFlow) to establish data connections to source applications • Utilize software frameworks such (e.g., Semantic Kernel, Prompt Flow, LangChain) to integrate LLM’s into applications • Develop and manage AI model cleansing, consolidation, and integration mechanisms to support big data analytics at scale • Build visualizations using AI tools and assist business users with testing, troubleshooting, and documentation creation

• Define, execute, and scale City of Hope’s enterprise AI and digital product strategy. • Lead through Directors, Senior Managers, and Managers, accountable for outcomes across departments. • Transform legacy workflows into intelligent, AI orchestrated experiences through modern agent design. • Guide responsible adoption of foundation models and hybrid AI architectures for regulated healthcare. • Oversee the full lifecycle from ideation, experimentation through deployment, optimization, and retirement. • Establish enterprise KPIs/OKRs to measure impact like patient outcomes and operational efficiency.

Requisition Number: 2327853 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. 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. 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 - 3+ years of experience with PySpark or SQL - 3+ years of experience with software engineering and software development life cycle (SDLC) - 2+ years of experience with CI/CD tools to ship production quality code - 2+ years of experience with cloud environments and cloud-based batch model deployments using Python in at least one of Azure, AWS, Google Cloud Preferred Qualifications: - MS in computer science or related quantitative field - Experience with Databricks, AzureML, and Snowflake or related technologies - Experience with distributed computing approaches such as Spark - 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 $89,900 to $160,600 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.