Lead AI/ML Engineer - Remote

Optum Insight is improving the flow of health data and information to create a more connected system. We remove friction and drive alignment between care providers and payers, and ultimately consumers. Our deep expertise in the industry and innovative technology empower us to help organizations reduce costs while improving risk management, quality and revenue growth. Ready to help us deliver results that improve lives? Join us to start Caring. Connecting. Growing together.  

As a Lead AI/ML Engineer on the AI Platform Team within Optum AI, you will drive the design and development of scalable AI systems to improve patient care. This is a highly hands-on, technical engineering lead role focusing on technical execution, architectural strategy, and technical mentorship of other engineers. Our team delivers complete end-to-end solutions, from healthcare data ingestion and generative agents to AI model deployment, clinical applications, and analytics. Our current initiatives involve both leveraging and building cutting-edge Generative AI and Agentic AI technologies from scratch. We have the data and resources to make an impact on a massive scale, benefiting millions of people globally.

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 and contribute to the design, hands-on implementation, and deployment of end-to-end AI/ML systems that enable the business to derive critical insights from patient data in a scalable, reliable, and cost-effective manner
• Partner with product managers, data scientists, software engineers, and business stakeholders to translate business requirements into scalable AI systems
• Design, develop, and deploy AI-powered solutions to address complex business challenges with a solid emphasis on the responsible use of AI
• Leverage enterprise-approved and AI-assisted tools to streamline engineering workflows, automate routine tasks, conduct code reviews, perform testing, and drive continuous improvement
• Ensure the delivery of high-quality, maintainable, and efficient code and technical specifications, leading by example to deliver product quality the first time
• Drive architectural decisions and contribute to our long-term technical strategy for AI/ML systems, evaluating emerging trends and research to inform solution design
• Own the full lifecycle of AI/ML initiatives, from problem definition and data exploration to agent development, deployment, and active monitoring
• Define project scope, success metrics, and delivery milestones in collaboration with cross-functional teams, executing with solid engineering rigor through CI/CD, environment readiness, and quality gates
• Stay ahead of the curve on emerging AI/ML technologies, tools, and research, promoting a culture of innovation through rapid iteration, experimentation, and data-driven decision-making
• Act as a key technical resource and trusted advisor on complex or critical issues, actively reviewing the work of others and mentoring engineers to help them reach their full potential without direct administrative/HR management responsibilities

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's degree in Computer Science, Software Engineering, Information Technology, Mathematics, Statistics, or a related quantitative field, or 4+ years of equivalent software engineering experience in lieu of a degree
• 12+ years of experience in Software Engineering, Data Science, or Analytics, with at least 3+ years dedicated to AI/ML engineering or related fields
• 4+ years of experience in a team lead or technical leadership role (guiding technical projects, architectures, and mentoring engineers)
• 4+ years of hands-on Python programming experience
• 4+ years of hands-on experience in modern cloud infrastructure (e.g., AWS, Azure, or GCP)
• 1+ years of experience leveraging Large Language Models (LLMs) or developing generative AI solutions
• Experience designing and delivering at least tw