UnitedHealth Group is seeking to solve the business problem of improving health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best through the development and execution of a transformative AI strategy within the healthcare sector.
Requirements
- PhD or Master’s degree in Machine Learning, Artificial Intelligence, Computer Science, or a related field
- Hands-on experience with machine learning libraries and frameworks
- Current and extensive hands-on experience with modern AI tools, frameworks, and methodologies
- Experience with data analysis tools and techniques
- Experience implementing machine learning fairness and bias mitigation techniques
- Public cloud experience (Azure, and/or GCP, and/or AWS)
- Comprehensive knowledge of statistical methods, machine learning algorithms, and AI principles
Responsibilities
- Develop and execute org-wide AI strategy and roadmap aligned with business objectives and growth initiatives
- Maintain hands-on involvement in key AI projects, actively contributing to code, model development, and technical solutions
- Drive innovation through research and adoption of cutting-edge AI technologies and methodologies
- Establish AI governance frameworks, ethical guidelines, and best practices across the organization
- Personally design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms
- Collaborate with cross-functional leadership to translate business needs into AI strategy
- Collaborate with team leads in the deployment and maintenance of AI models in production environments, ensuring scalability, reliability, and cost-effectiveness
Other
- 10+ years of experience in AI/ML with demonstrable career progression from individual contributor to technical leadership roles
- Proven ability to build and scale AI infrastructure and operations
- Proven track record of hands-on development and implementation of enterprise-scale AI SaaS solutions with measurable business impact
- Demonstrated ability to balance strategic leadership with hands-on technical contribution
- Active practitioner with current, deep technical expertise in AI technologies and applications
