Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data, and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits, and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Optum AI is chartered to drive value on high impact enterprise AI problems, democratize AI through the enterprise ML platform, accelerate the adoption of Generative Artificial Intelligence (Gen AI) and drive Responsible AI. Projecting to deliver $8.4B of benefit value over the next 5 years through these efforts as well as reduce risk through safe, accurate, and unbiased AI, this is a key focus of the enterprise. As a Lead AI/ML Software Engineer, you will be responsible for the design, implementation, and scaling of AI systems for health applications at Optum. You will be responsible for the development and execution of the vision for enabling solutions on United AI Studio (enterprise ML platform). As a Lead Engineer, you will ensure technical tasks and properly detailed, designed and executed per existing standards. You are expected to play key role in design activities and scoping and mentor juniors in execution. Primary Responsibilities · Build platform features to for AI/ML lifecycle include data processing, AI inference (batch, real-time, hybrid) and end-to-end MLOps for non-generative and generative use-cases · Utilize deep knowledge of AI/ML systems engineering to define future architecture patterns for a multi-cloud platform · Develop robust, scalable, and maintainable code that meets the high standards of quality and performance. · Utilize engineering expertise to coach and influence enterprise data scientists and ML engineers to adopt scaleable, robust process architecture for AI/ML use-cases. · Stay up-to-date with the latest advancements in AI/ML technology and introduce innovative techniques and tools to the team. · Mentor and develop junior engineers on the team. · Participate in the entire software development lifecycle – design, implementation, testing, CI/CD and production operations **Required Qualifications:** + · Master’s degree or Ph.D. with 7+ years of relevant experience or a bachelor's degree and at least 9+ years of relevant experience· 7+ years industry experience as a Software Engineer, Software Developer, or AI/ML Engineer, with at least 5+ years in senior engineering roles with increasing scope· 5+ years of demonstrable experience with AI/ML Engineering including data pipelines, model inference and MLOps for batch and real-time endpoints on cloud platforms (e.g. Databricks, Azure, AWS, GCP, Snowflake)· 7+ years of experience with demonstrable proficiency in programming languages such as Python or Java· 5+ years of demonstrable proficiency with querying and data processing tools (e.g. PySpark, SQL) as well as command-line tools (shell, regex, cloud CLI)Preferred Qualifications· Experience with DevOps practices, including CI/CD, containerization (Docker, Kubernetes), and infrastructure as code.· Deep understanding of AI/ML lifecycle and variations for different use-cases (non-generative, generative)· Experience with AI/ML development in industries such as healthcare, aerospace, insurance· Proven success in collaborating with geographically distributed team