Senior Manager AI/ML Engineering

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 inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together.

AI/ML Solutions Delivery Lead end-to-end implementation of AI/ML and Generative AI initiatives Collaborate with business and product stakeholders to translate opportunities into scalable technical solutions Guide engineering teams in selecting appropriate frameworks, technologies, and implementation approaches Ensure solutions meet functional, scalability, privacy, compliance, and performance expectations Drive adoption of reusable assets, accelerators, and engineering best practices Cloud Modernization Advance cloud adoption strategies for AI/ML workloads using modern platform services and engineering practices Enable scalable deployment models through automation, infrastructure orchestration, and release management Improve engineering efficiency through standardized environments, platform tooling, and developer experience enhancements Optimize resource utilization and operational spend through effective platform governance Responsible AI Technologies Establish practices for trustworthy AI including model validation, transparency, monitoring, and risk mitigation. Promote practical adoption of GenAI capabilities that deliver measurable business outcomes Evaluate emerging technologies and recommend solutions aligned with organizational priorities Encourage responsible experimentation while balancing innovation, risk, and value realization Oversee execution of AI/ML roadmaps, ensuring commitments are delivered with quality and predictability Manage dependencies, risks, priorities, and resource allocation across multiple initiatives Provide leadership with visibility into delivery progress, operational metrics, and business impact Engineering Team Leadership Build high-performing AI/ML engineering teams through mentorship, skill development, and career coaching Create a culture of innovation, accountability, collaboration, and continuous improvement Manage workforce planning, talent acquisition, employee engagement, and technical capability growth Partner with geographically distributed teams to ensure smooth execution and knowledge sharing Platform Stability & Operational Excellence Champion operational health of AI/ML products and platforms through proactive monitoring and performance optimization Establish measurable service targets and continuously improve platform responsiveness and dependability Drive operational maturity through automation, runbook adoption, and preventative maintenance practices Coordinate recovery efforts during service disruptions and ensure lessons learned translate into sustainable improvements Promote scalable architecture patterns that support business continuity and resiliency objectives Leadership Impact & Organizational Scope Influence technology direction and operational excellence across a business function, product area, or strategic portfolio Partner with business, product, architecture, and engineering stakeholders to achieve enterprise priorities and measurable business results Demonstrate adherence to organizational policies, compliance requirements, security standards, and evolving business practices while maintaining a culture of accountability and integrity Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements Required Qualifications: Degree