• With your technical expertise you will accompany the entire development process: from requirements gathering through architecture and implementation to production operation. • In interdisciplinary teams with clients, colleagues and partners you will develop well-founded and sustainable solution approaches. • Regular training and expanding your own skills, including beyond your core area, are part of your daily work. • You will design and implement scalable Data-Lakehouse solutions (e.g. on Databricks) in close collaboration with business and IT stakeholders. • You select appropriate approaches: from classical Machine/Deep Learning to Large Language Models (LLMs) and agent systems, and integrate models into existing data and application landscapes. • You plan and implement data platforms and AI workloads in private and, where applicable, hybrid cloud environments, taking data privacy, compliance and regulatory requirements into account.

Requisition Number: 2341652 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. 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 AI/ML adoption across the team, driving innovative use of both Generative AI and traditional ML techniques - Design, develop, test, deploy, maintain, and continuously improve AI-powered software solutions to meet customer and business needs - Build responsible AI solutions and service components to support the Provider community, ensuring compliance with ethical and regulatory standards - Develop new features leveraging AI/ML, including Generative AI models, predictive analytics, and automation capabilities - Provide technical leadership for AI initiatives, including Chatbots and conversational AI solutions - Partner with product management, architects, and engineering leadership to deliver creative, scalable AI solutions for healthcare challenges - Drive alignment with enterprise AI strategies and ensure solutions meet business objectives and engineering best practices - Accountable for high-quality software deliverables and operational excellence - Mentor and train team members on AI/ML technologies, frameworks, and responsible AI practices - Collaborate with broader engineering teams to integrate AI into cloud modernization efforts and digital-first initiatives - Exercise independent judgment to prioritize, plan, and manage AI-related activities and projects 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: - Undergraduate degree or equivalent experience - 6+ years of software engineering experience - 5+ years of hands-on experience building AI/ML solutions, including LLMs, Generative AI, and traditional ML models - 5+ years of experience with Web and API development - 5+ years of experience hosting applications in cloud environments (AWS preferred) - 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 Preferred Qualifications: - BS in Computer Science, Engineering, or related technical field (or equivalent experience) - Experience in the healthcare industry - Full-stack engineering experience *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.

• Our AI roadmap is live and shipping. You’ll work on systems that go from training and evaluation to production monitoring: • Survey timing optimization model — an ML system that learns the optimal moment to send a survey for each client relationship, maximizing response rates and data quality • NLP pipeline for free-text feedback analysis — classifying, scoring, and extracting structured signals from open-ended survey responses across thousands of enterprise clients • Client health scoring — an aggregate model that combines survey results, response patterns, historical sentiment, and relationship signals into a single predictive score per account • Agentic AI architecture using LLM orchestration (Google Vertex AI / ADK) — multi-agent systems that reason over client data and surface proactive recommendations to account managers • RAG system over enterprise knowledge bases — grounding LLM outputs in verified client data and platform knowledge • MLOps infrastructure: model versioning, A/B testing, inference cost monitoring, drift detection, and production observability for agent loops

• Develop and evaluate AI-based biomarkers using multimodal data. • Design, implement, and improve machine-learning models to predict patient outcomes and treatment response. • Contribute to the end-to-end model development lifecycle, including data preparation, training, evaluation, and validation. • Support the productionalization, launch, and monitoring of machine-learning models in collaboration with platform and product teams. • Conduct research and experimentation to improve model performance, robustness, generalizability, and interpretability. • Collaborate with biostatistics, clinical, and product partners to translate clinical questions into machine-learning solutions. • Contribute to scientific publications and conference submissions alongside the broader research team.