AI/ML Engineer

UnitedHealth Group•San Francisco, CA

1d•$98,500 - $176,000•Remote

About The Position

As an AI/ML Engineer at Optum AI, you’ll be designing and developing AI systems to improve patient care. The AI Platform Team often delivers the entire solution, from healthcare data ingest, generative agents and AI models deployment, data extraction, agent/model results and analytics, to the applications used for reviewing clinical data and AI results. Current projects involve both leveraging and building cutting edge Generative AI and Agentic AI technologies from scratch. The team has the data and resources to make an impact on a scale, and when solutions are deployed, they benefit millions of people. It is a globally distributed and diverse team with the shared passion to improve patient outcomes, improve healthcare operations, and streamline payments. The team pays attention to the details to make sure quality is delivered the first time. You’ll enjoy the flexibility to work remotely from anywhere within the U.S. For hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office for a minimum of four days per week.

Requirements

3+ years of AI/ML experience
3+ years of experience in Python programming
2+ years of hands-on experience in modern cloud infrastructure (AWS, Azure or Google. GCP is a plus)
1+ years of hands-on experience of CI/CD principles
1+ years of experience leveraging Large Language Models (LLMs)

Nice To Haves

Bachelor's degree in Computer Science or related field, or 2+ years of equivalent experience
Proven track record of engaging with customers to design and deliver at least one complete AI product, from ideation to product release
Proven solid knowledge and hands-on experience of CI/CD principles
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
Experience with the challenges of delivering and monitoring LLM based cloud systems into production
Experience in Healthcare
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

Responsibilities

Contribute to the design and hands-on implementation of the 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.
Help drive architectural decisions and contribute to our long-term technical strategy for AI/ML systems
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
Design, develop, and deploy AI-powered solutions to address complex business challenges with emphasis on responsible use of AI