Join Optum, a global leader dedicated to advancing health optimization through innovative technology. We are seeking an experienced Senior AI/ML Engineer to contribute to modernizing large-scale enterprise applications. This role offers a hands-on technical leadership opportunity, where you will influence architecture, drive engineering standards, champion cloud adoption, and guide the team's technical direction. The ideal candidate possesses strong Java and full-stack engineering expertise, coupled with experience in AWS, API design, distributed systems, production platform operations, and leveraging modern AI-assisted engineering practices.

At Optum, your work directly impacts millions of lives by connecting individuals with the care, resources, and pharmacy benefits they need. You will collaborate with product, architecture, engineering, and business teams to guide solutions from conception through implementation and ongoing operational ownership. Be part of a culture that values inclusion, collaboration, and continuous growth while making a significant impact on communities worldwide.

As a Senior AI/ML Engineer, you will engage in hands-on engineering and technical leadership, designing, developing, and delivering enterprise-scale applications using Java, Spring Boot, and microservices. You will provide technical direction for complex features, mentor engineers, and establish robust engineering standards. Responsibilities also include designing and building scalable, resilient applications on AWS, supporting application modernization, and ensuring optimal cloud architecture. You will own applications throughout their lifecycle, driving improvements in availability, performance, and reliability. Additionally, you will integrate Generative AI and AI-assisted development tools to enhance engineering productivity, explore practical AI use cases, and champion secure coding practices and architectural quality.

We require advanced hands-on experience building and operating applications on AWS or another major public cloud, with a strong preference for AWS. Demonstrated expertise with Java and Spring Boot is essential, alongside experience in designing and developing REST APIs and microservices. Candidates should possess modern full-stack application development skills, experience with relational and/or NoSQL databases, and a proven ability to troubleshoot complex production systems and application performance issues. A solid understanding of distributed systems, enterprise application architecture, software engineering fundamentals, design patterns, automated testing, CI/CD, source control, and application security is mandatory. The role also calls for a demonstrated ability to provide technical leadership and mentor other engineers, supported by strong analytical, problem-solving, communication, and collaboration skills. Experience with AI-assisted development tools like GitHub Copilot is highly preferred.