Note: The job is a remote job and is open to candidates in USA. UnitedHealth Group is a global organization that delivers care aided by technology to help millions of people live healthier lives. As a lead AI/ML Engineer at Optum AI, you'll be designing and developing AI systems to improve patient care and ensure the delivery of high-quality AI solutions that benefit millions. You'll collaborate with cross-functional teams to translate business requirements into scalable AI systems while mentoring other engineers.
Responsibilities
- Lead and contribute to the design and hands-on implementation of AI/ML platform that enables Optum to derive information from patient data in a scalable, reliable, and cost-effective manner
- Partner with product managers, data scientists, prompt designers, engineers, and business stakeholders to translate business requirements into scalable AI systems
- Leverage AI assisted tools for design, implementation, code reviews, and testing
- Ensure the delivery of high-quality, maintainable, and efficient code and specifications. Lead by example to deliver product quality the first time
- Drive architectural decisions and contribute to our long-term technical strategy for AI/ML systems
- Own end to end delivery of platform and agent capabilities, from problem definition through design, implementation, modular packaging, deployment, and production monitoring
- Partner 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 maintainability
- Stay ahead of the curve on emerging AI/ML technologies, tools, and research, and evaluate their applicability to business problems. Embrace and promote a culture of innovation through rapid iteration, experimentation and data driven decision-making
- Be a trusted technical advisor to management, internal stakeholders, and customers
- Mentor and lead other engineers to reach their potential
Skills
- Bachelor's degree in Computer Science or related field, or 4+ years of equivalent experience
- 4+ years of experience in Python programming
- 4+ years of hands-on experience in modern cloud infrastructure (AWS, Azure or Google. GCP)
- 4+ years of experience working with various AI/ML infrastructure, tools and platforms across the full stack of AI/ML technology
- 2+ years of experience in a team lead role
- 1+ 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 release
- Experience with the challenges of delivering and monitoring LLM based cloud systems into production
- Experience in Healthcare
- Proven solid knowledge of CI/CD principles with hands on experience designing and operating multiple production grade pipelines
- Proficient with GitHub and GitHub Actions, artifact and dependency management, containerization using Docker, and infrastructure as code using Terraform to enable reliable, repeatable, and secure deployments
- Proven solid communication skills with the ability to explain complex technical concepts to diverse audiences
- Demonstrated bias for action
- Demonstrated passion for innovation and staying current with emerging AI/ML trends
Benefits
- Comprehensive benefits package
- Incentive and recognition programs
- Equity stock purchase
- 401k contribution
- Career development opportunities
- Flexibility to work remotely * from anywhere within the U.S.
- 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.
- UnitedHealth Group's Telecommuter Policy (remote work requirement)
- Development for other roles you may be interested in
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