Manager of 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. The Manager, AI/ML Engineering will lead the strategy, architecture, and delivery of enterprise-scale AI/ML, Generative AI, LLM, Agentic AI, and Intelligent Automation solutions that drive business value and operational excellence. The role is responsible for building and mentoring high-performing teams while delivering scalable, secure, and cloud-native AI platforms using Azure, Databricks, PySpark, Scala, Kubernetes, and MLOps frameworks. The manager will partner with Data Science, Product, Architecture, Engineering, and Business stakeholders to translate strategic priorities into AI solutions, ensuring engineering excellence, platform reliability, AI governance, and successful delivery of enterprise AI initiatives. The role will also drive adoption of emerging technologies such as LLMs, RAG, Multi-Agent Systems, Vector Search, and Responsible AI practices, while influencing technology roadmaps and innovation across the organization.

Evaluate emerging AI technologies, frameworks, and tools to drive innovation and continuous improvement Lead and manage a team of AI/ML Engineers responsible for building and supporting enterprise AI solutions Define and execute the organization's AI/ML and Generative AI strategy, aligned with business objectives and technology roadmaps Drive architecture and implementation of LLM, RAG, Agentic AI, Predictive Analytics, and Intelligent Automation solutions Establish engineering standards, development frameworks, AI governance controls, and operational best practices Oversee end-to-end AI solution lifecycle including design, development, testing, deployment, monitoring, and optimization Partner with business leaders to identify opportunities for AI-driven transformation and measurable business impact Lead architecture reviews, code reviews, technical design sessions, and technology evaluations Create technical documentation and provide support for AI/ML application deployments, monitoring, and incident resolution Drive adoption of MLOps, CI/CD, Model Monitoring, Drift Management, and Responsible AI practices Manage project execution, delivery commitments, capacity planning, vendor engagement, and stakeholder communications Ensure enterprise AI platforms meet security, scalability, reliability, compliance, and operational requirements Builder Responsibilities: Design, develop, and deploy AI-powered solutions using no-code, low-code, and advanced platforms, translating business needs into scalable applications that enhance products, workflows, and decision-making Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Required Qualifications: Bachelor's or Master's degree in Computer Science, Information Technology, or equivalent 12+ years of professional experience in AI/ML engineering, including machine learning, Generative AI, LLM-based applications,