GCP is a plus)4+ years of experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology2+ years of experience in a team lead role1+ years of experience leveraging Large Language Models (LLMs)Proven track record of engaging with customers to design and deliver at least two complete AI products, from ideation to product releasePreferred QualificationsProven solid knowledge of CI/CD principles with hands-on experience designing and operating multiple production-grade pipelinesProficient with GitHub and GitHub Actions, artifact and dependency management, containerization using Docker, and infrastructure-as-code using Terraform to enable reliable, repeatable, and secure deploymentsExperience with the challenges of delivering and monitoring LLM based cloud systems into productionExperience in HealthcareProven solid communication skills with the ability to explain complex technical concepts to diverse audiencesDemonstrated bias for actionDemonstrated passion for innovation and staying current with emerging AI/ML trends*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter PolicyPay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. Lead by example to deliver product quality the first timeDrive architectural decisions and contribute to our long-term technical strategy for AI/ML systemsOwn end-to-end delivery of platform and agent capabilities, from problem definition through design, implementation, modular packaging, deployment, and production monitoringPartner with cross-functional teams to define scope, success criteria, and delivery milestones, then execute with solid engineering rigor through CI/CD, environment readiness, and quality gates to deliver on schedule without compromising reliability or maintainabilityStay ahead of the curve on emerging AI/ML technologies, tools, and research, and evaluate their applicability to business problems.