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.

• Lead the strategy, architecture, development, and delivery of scalable AI/ML and GenAI solutions
• Provide technical and people leadership to AI/ML engineering teams, driving engineering excellence and talent development
• Lead production AI/ML systems across ML, Deep Learning, NLP, GenAI, LLM
• Drive engineering best practices across MLOps, DevOps, automation, monitoring, reliability and continuous improvement
• Partner with product, architecture, data and business stakeholders to translate complex business needs into scalable AI solutions
• Establish appropriate AI evaluation criteria, readiness thresholds, monitoring, guardrails, human review and lifecycle controls, consistent with SG28-29 internal AI guidance
• Ensure AI solutions meet expectations for reliability, quality, fairness, accountability, transparency, privacy and security
• Mentor and develop engineering talent while accelerating AI adoption and innovation
• Provides leadership to and is accountable for the performance of managers and/or senior level professional staff
• Impact of work is most often at the operational or local business unit or market level
• 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

• Bachelor's/Master's degree in Computer Science, AI/ML, Engineering, Data Science or equivalent experience
• Solid experience leading AI/ML engineering and production-scale AI solution delivery
• Experience building and scaling AI/ML systems with a production-focused engineering approach
• Strong knowledge of cloud platforms, model deployment, monitoring and AI engineering practices
• Deep understanding of Machine Learning, Deep Learning, NLP, Generative AI, LLMs
• Proven technical leadership, people leadership, stakeholder management, and cross-functional delivery skills
• Proven ability to define AI success criteria and guide teams through experimentation, evaluation, production deployment and continuous improvement