Join Optum, a global health optimization leader, and shape the future of AI/ML-driven digital experiences. This senior leadership role focuses on pioneering next-generation Agentic AI platforms, combining deep AI/LLM expertise with platform engineering and organizational leadership. You will be instrumental in developing scalable AI systems, orchestrating intelligent agents, and driving enterprise-wide AI adoption.

We offer a dynamic culture of inclusion and collaboration, with opportunities for professional growth and making a significant impact on global health outcomes. Be part of a team that is dedicated to Caring, Connecting, and Growing together.

Lead the design, development, and deployment of enterprise-scale AI/ML and Generative AI solutions, including LLM and agentic systems.

Define and scale AI-driven engineering practices, focusing on AI-enabled SDLC (AIDLC) frameworks, tools, and reusable platforms to drive productionization.

Apply AI-driven automation and agent-based workflows to enhance engineering productivity, quality, and speed to market.

Build, mentor, and develop high-performing, globally distributed AI/ML engineering teams, fostering a culture of innovation and continuous learning.

Partner with Product, Business, and Platform teams to align AI-driven solutions with strategic priorities and resolve complex challenges across engineering, data, and infrastructure.

A minimum of 15 years in software engineering, with substantial experience in AI/ML and data-driven systems.

Proven expertise in designing and deploying cloud-native solutions on Azure or AWS, including scalable AI/ML workloads (at least 5 years).

Over 4 years of experience leading large-scale AI/ML engineering organizations (20-50+ team members) with globally distributed teams.

Hands-on experience with Python and modern ML/GenAI frameworks like PyTorch, TensorFlow, RAG, and agent frameworks (at least 2 years).

Demonstrated ability to implement AI-enabled software development lifecycle practices (AIDLC) and related tools/frameworks.

Ability to connect AI investments to measurable business outcomes (ROI, efficiency, growth, risk reduction) and collaborate effectively with global teams.