Join Optum, a global leader in health optimization, and contribute to improving health outcomes through technology. This is an opportunity to work within a supportive, inclusive culture alongside talented peers, comprehensive benefits, and career development. You will play a key role in advancing health optimization on a global scale, embodying our commitment to Caring, Connecting, and Growing together.

We are seeking a Senior Technical Lead - AI Solutions to spearhead the design, development, and deployment of cutting-edge AI capabilities. This role is central to building Prior Auth agents and requires a leader with extensive experience in Java enterprise development, distributed systems, cloud architectures, and modern AI technologies.

This position offers a chance to provide technical leadership across backend engineering, AI/GenAI solutions, data integration, and cloud initiatives. You will collaborate closely with Product, Architecture, Security, and Data teams to deliver secure, scalable, and high-performing applications for contract intelligence, policy interpretation, payment integrity analytics, and more.

Provide essential technical leadership for AI and Generative AI solutions, focusing on Java backend applications deployed in Azure. Collaborate with architects and product teams to translate business needs into robust technical designs.

Drive technical discussions, conduct code reviews, and champion engineering best practices. Mentor software engineers, data engineers, and AI practitioners, supporting technology modernization within the Payment Integrity ecosystem.

Evaluate new AI technologies and propose solutions aligned with business objectives. Ensure AI solutions adhere to enterprise security, compliance, and responsible AI standards, including transparency and human oversight. Collaborate with privacy, security, and governance teams to meet healthcare regulations.

A Bachelor's degree or equivalent practical experience is required. A minimum of 10 years of hands-on experience in Java backend development and enterprise application engineering is essential.

Demonstrated expertise in designing and developing scalable, distributed, and cloud-native applications is necessary, along with at least 3 years of experience in building AI, Machine Learning, or Generative AI solutions. Prior experience in a Technical Lead or equivalent leadership role (2+ years) is also required.

Proficiency in building high-volume REST-based microservices, event-driven architectures, and deploying enterprise applications on cloud platforms like Azure, AWS, or GCP is crucial. Solid hands-on expertise in enterprise Java, Spring Boot, Spring Cloud, distributed systems, and cloud-native development is expected.