Requisition Number: 2369423 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 Technology is UnitedHealth Group's enterprise 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. 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 - 8+ 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 hosting applications in cloud environments - 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: - 5+ years of experience with Web and API development - Healthcare 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 $120,100 to $214,500 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. #optumtechpj #BI-Hybrid

Role Description Estamos en búsqueda de: Ingeniero/a de Software IA Generativa (Azure / .NET / Python) - Diseñar y desarrollar soluciones software orientadas a Inteligencia Artificial y casos de uso con modelos generativos. - Implementar componentes backend en .NET y servicios en Python para integración de capacidades de IA. - Integrar aplicaciones con Azure OpenAI, gestionando prompts, orquestación de llamadas y tratamiento de respuestas. - Colaborar con equipos de arquitectura, producto y negocio para definir soluciones técnicas escalables y mantenibles. - Desarrollar e integrar APIs y servicios cloud siguiendo principios de Clean Architecture y buenas prácticas de desarrollo. - Documentar soluciones, decisiones técnicas y contribuir a la mejora continua de estándares y prácticas del equipo. Qualifications - Experiencia previa en desarrollo de soluciones software con enfoque en Inteligencia Artificial. - Experiencia sólida en .NET (preferiblemente versiones recientes). - Experiencia en desarrollo con Python. - Experiencia en integración con Azure OpenAI. - Conocimiento y aplicación de principios de Clean Architecture. - Experiencia en desarrollo de APIs, servicios backend y componentes de integración. - Conocimiento de buenas prácticas de desarrollo: código limpio, testing, control de versiones y revisiones de código. - Capacidad para trabajar en equipos multidisciplinares. Requirements - Experiencia con Azure AI Search (búsqueda semántica, indexación y arquitecturas RAG). - Conocimiento o experiencia con Databricks. - Experiencia con frameworks o herramientas como Google ADK o Microsoft Agent Framework. - Experiencia en soluciones RAG, vectorización, embeddings y procesamiento documental. - Conocimiento de servicios cloud de Azure relacionados con IA, datos e integración. - Familiaridad con prácticas DevOps, CI/CD y despliegue en entornos cloud. Benefits - Contrato indefinido con salario competitivo. - Modalidad flexible y posibilidad de trabajo remoto. - Plan de carrera personalizado y formación continua. - Participación en proyectos estables con alto componente técnico. - Flexibilidad horaria y enfoque en la conciliación. - Beneficios sociales adaptados a tus necesidades.

• Lead the adoption and evolution of agentic development tools (with Claude Code as the primary tool) within multidisciplinary squads. • Define and disseminate AI-assisted development methodologies — based on Spec-Driven Development (Spec-Kit, BMAD) — adapting the lifecycle to each product’s context. • Design and implement agentic processes across the engineering workflow: AI-assisted code review, generation and maintenance of tests, assisted refactoring, living documentation, and PR automation. • Mentor peers with support, raising the team’s maturity in AI-assisted engineering. • Support the squad’s backlog organization, prioritizing technical debt, architectural risks, and AI automation opportunities.

• Design, build, and operate production-grade AI capabilities embedded into real enterprise delivery • Contribute to internal reusable assets: reference implementations, patterns, templates, delivery playbooks • Informally mentor more junior engineers • Collaborate closely with solution architects, platform engineers, and client stakeholders to translate real business problems into working AI designs