Join Optum, a global leader dedicated to improving health outcomes through innovative technology. We are seeking a Senior Principal Software Engineer to drive the design, development, and deployment of advanced AI/ML solutions. This role offers a unique opportunity to shape the future of healthcare by connecting individuals with the resources they need to thrive.

At Optum, we foster an inclusive culture where talented individuals collaborate to achieve ambitious goals. You'll benefit from comprehensive support, career development, and the chance to make a significant impact on communities worldwide. Help us advance health optimization on a global scale and experience the power of Caring, Connecting, and Growing together.

As a technical leader, you will spearhead the creation of scalable, secure, and reliable AI/ML solutions, transforming algorithms into enterprise-grade software. You'll guide complex initiatives from concept to production, applying advanced machine learning, deep learning, and statistical methodologies.

Key responsibilities include partnering with stakeholders to identify high-value use cases, implementing AI solutions that address critical business needs, and championing modern engineering practices such as automation, code reuse, and CI/CD. You will also promote AI/MLOps best practices, influence architectural decisions, and ensure adherence to enterprise security, privacy, and quality standards. Mentoring junior engineers and communicating complex AI/ML concepts effectively to diverse audiences are also crucial aspects of this role.

A Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience, is required. You should possess deep, hands-on experience in designing, developing, and deploying AI/ML solutions into production environments.

Demonstrated expertise in modern AI/ML engineering stacks, large-scale compute and data frameworks, and building reusable AI-enabled services is essential. Proven ability to translate business problems into AI/ML-driven solutions, a solid understanding of AI/ML system security and privacy, and a strong foundation in machine learning, deep learning, statistics, and experimental methodologies are vital. Experience leading complex technical initiatives, applying modern software engineering practices, and excellent communication skills for technical and non-technical audiences are expected.