Lead AI / ML Engineer

Lead AI / ML Engineer – Clinical AI systems

Optum is a global organization that delivers care, aided by technology, to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities.

Careers with Optum offer flexible work arrangements and individuals who live and work in the United States will have the opportunity to telecommute from a home-based office.

As a Lead AI / ML Engineer at Optum AI, you’ll be designing and developing AI systems to improve patient care.

About the AI Data Engineering Team

We often deliver the entire solution, from healthcare data integration, AI model deployment, processing, results and analytics, to the applications used for reviewing clinical data and AI results. Our current projects involve building cutting edge Generative AI technologies from scratch. The data we work on ranges from patient charts, radiology reports to X-Rays and other clinical data.

We have the data and resources to make an impact on a scale. When our solutions are deployed, they benefit millions of people.

We are a globally distributed and diverse team with the shared passion to improve patient outcomes, improve healthcare operations and streamline payments.

We pay attention to the details to make sure we deliver quality, the first time.

Primary Responsibilities :

• Lead the design and implementation of systems that enables Optum to derive information from patient data in a scalable, reliable, and cost-effective manner
• Analyze clinical data and determine the best designs on how to process this data
• Ensure the delivery of high-quality, maintainable, and efficient code and specifications
• Lead by example to deliver product quality, including agile SCRUM methodologies, unit tests, code reviews and engineering design specifications.
• Lead systems design to allow customers to effectively ingest and store patient-related data and for data scientists and engineers to access this data with ease
• Research and recommend new AI technologies
• Be a trusted technical advisor to management, internal stakeholders, and customers
• Mentor and lead other engineers to reach their potential
• Leverage AI tools to enhance productivity and innovation

Required Qualifications :

Additional Qualifications