Join Optum, a global leader in healthcare technology, and contribute to a mission that improves the lives of millions. We are dedicated to optimizing health outcomes through innovative technology and fostering a culture of inclusion, collaboration, and continuous growth. This role offers a unique opportunity to shape the future of healthcare by advancing health optimization on a global scale. Embrace our values of Caring, Connecting, and Growing together as you make a significant impact.

As a Senior AI/ML Engineer, you will be instrumental in designing, developing, and deploying cutting-edge AI solutions. Your work will involve building enterprise-scale AI applications, integrating AI into existing products, and defining technical solution architecture and engineering standards. You will champion the adoption of AI across platforms, ensuring solutions are scalable, secure, and maintainable, while leveraging tools like GitHub Copilot and enterprise LLMs. Additionally, you will automate development activities, drive productivity, and build responsible AI solutions by adhering to governance, security, and privacy controls. Mentoring other engineers and driving innovation through evaluating emerging technologies will also be key aspects of this role.

We are seeking candidates with a strong foundation in software engineering, typically with 5+ years of hands-on experience, and at least 2 years focused on AI/ML, Generative AI, or data science for production solutions. A graduate degree or equivalent experience is required, with a Bachelor's degree in a technical field such as Computer Science, Software Engineering, Data Science, Mathematics, or Statistics being essential. While not strictly mandatory, a Master's degree in AI, Machine Learning, or Data Science is often preferred for advanced responsibilities.

Key qualifications include: - Proven experience in taking solutions from concept to enterprise production deployment. - Proficiency with AI/ML frameworks and tools. - Strong understanding of solution architecture and engineering best practices.