• 参与 AI Agent 产品的全生命周期开发，包括 Web 体验、API 服务、Agent 编排、工具调用、Agent Loop、任务规划、执行反馈、状态管理和结果持久化。 • 设计和实现面向生产环境的 Agent 产品能力，包括 API 服务、任务队列、异步流程、数据模型、权限、计费和业务状态管理等核心模块。 • 构建和优化 Agent 与工具系统之间的调用链路，提升执行稳定性、可观测性、容错能力和扩展能力。 • 参与多 Agent 协作、工具路由、上下文管理、模型选择、任务重试、异常恢复等复杂工程问题的设计与落地。 • 参与 Web 应用开发与维护，完成产品功能、交互流程、前端状态管理和用户体验优化。 • 负责 API 服务、后台任务系统、数据层、Monorepo 工程化及 Docker 部署流程的开发、优化与维护。 • 与产品、设计和工程团队协作，将 AI 能力转化为稳定、可交付、可规模化的产品功能。 • 持续探索 AI 辅助开发和 Agent 工程最佳实践，输出高质量、可维护、可测试的代码。

• The AI GTM Engineer is responsible for designing, building, and scaling AI-enabled workflows that improve the speed, quality, and repeatability of Seeq’s go-to-market execution. • This role sits at the intersection of marketing, operations, systems, and applied AI, helping the GTM organization move from ad hoc use of AI tools to durable, governed, high-value workflows. • This leader partners closely with Product Marketing, Industries, Whole Offer Management, Regional Marketing, Partner Marketing, ABX / Campaign Execution, Campaign Program Management, Field Enablement, Marketing Analytics and Infrastructure, Revenue teams, and Product to build practical AI systems that support research, content assembly, campaign execution, launch readiness, knowledge management, and performance visibility.

Requisition Number: 2357479 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. We are seeking an AI/ML Engineer with deep expertise in Generative AI technologies to develop and deploy cutting-edge solutions within the Optum Care Strategic Platform (Facets). The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI, and frameworks such as LangGraph and LangChain. Strong proficiency in Python along with Software Engineering background using SQL and API development are essential. This role will involve close collaboration with Claims Operations. 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: - Be able to understand the Facets Delivery, Client priority and requirements - Proven Good in adapting & adopting new technology footprints to optimize business solutions using AI Adoption - Apply a solid understanding of Agentic AI concepts and frameworks such as LangGraph and LangChain to design and implement intelligent, autonomous systems - Utilize expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Transformer architectures to build scalable and high-performing AI solutions - Develop sophisticated generative AI algorithms and models to create new data samples, patterns, or content based on existing datasets and user inputs - Build and maintain robust APIs using frameworks such as FastAPI to enable seamless integration of AI services - Develop secure, maintainable software using SQL and modern engineering patterns - Deploy AI/ML solutions in production environments, preferably on cloud platforms like Azure - Implement machine learning and natural language processing projects from concept to production - Conduct rigorous model testing, validation, and performance optimization - Containerize AI/ML projects and implement CI/CD pipelines using tools like GitHub Actions - Collaborate with stakeholders to preprocess, analyze, and interpret large-scale datasets - Stay current with emerging trends and advancements in generative AI and ML technologies - Mentor and lead other engineers to reach their potential - Ensure code quality and security by identifying and resolving vulnerabilities - Maintain solid programming practices and standards - Provide timely updates on tasks to reporting supervisor - Adherence to the defined SLA Compliance etc - Provide support and leadership in critical production support issue resolution - Participate in on-call rotations as scheduled - Work with team to achieve timely resolution of all production issues meeting or exceeding Service Level Agreements 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 - 3+ years of experience in Python programming - 2+ years of experience with build, Deploying and manage ML models on cloud platforms such as Microsoft Azure or any other Cloud platform - 2+ years of Database Design/Programming - 1+ years of Terraform scripts understanding - 1+ years of Git action and CI/CD experience needed Preferred Qualifications: - 2+ years of software engineering and testing experience in C# / .Net programming language - Healthcare Claims EDI Experience - Prompt engineering experience - Experience leveraging Large Language Models (LLMs) - Experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology - Experience with the challenges of delivering and monitoring LLM based cloud systems into production - Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences *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 $98,500 to $176,000 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. #BI-Hybrid

• Serve as a technical lead and advisor to development teams transitioning to AI-driven development • Enable adoption of agentic AI development practices across multiple engineering teams • Support implementation of AI development lifecycle/spec-driven development practices • Coach and mentor engineers on AI development best practices, tools, and frameworks • Deliver training sessions, workshops, and enablement programs for developers and technical leaders • Partner with stakeholders across IT, product engineering, and enterprise AI teams to align on strategy and execution • Help development teams move from traditional agile delivery to AI-first engineering approaches • Support development of AI engineering accelerators and reusable frameworks • Act as a liaison between technical teams and leadership, ensuring alignment and delivery outcomes