Director of AI - Applied Research

Company Description It started with a simple idea: what if surgery could be less invasive and recovery less painful? Nearly 30 years later, that question still fuels everything we do at Intuitive . As a global leader in robotic-assisted surgery and minimally invasive care , our technologies—like the da Vinci surgical system and Ion —have transformed how care is delivered for millions of patients worldwide. We’re a team of engineers, clinicians, and innovators united by one purpose: to make surgery smarter, safer, and more human. Every day, our work helps care teams perform with greater precision and patients recover faster, improving outcomes around the world. The problems we solve demand creativity, rigor, and collaboration. The work is challenging, but deeply meaningful—because every improvement we make has the potential to change a life. If you’re ready to contribute to something bigger than yourself and help transform the future of healthcare , you’ll find your purpose here. Job Description Primary Function of the Position The Director of AI – Applied Research will report to the VP Research in the Future Forward organization. This is a unique opportunity to lead technical teams focused on developing solutions to address significant unmet business needs at the forefront of AI. The Director of AI – Applied Research will work cross-functionally to drive product definition and formative development activities in support of an advanced AI roadmap, with the specific responsibility to successfully manage programs out of research to product. In addition to being a proven people leader, success in this role will require strong patient-focused product definition and engineering acumen within the area of AI, medical robotics and instrumentation. Previous experience successfully managing the development of medical technologies from early concepts to product readiness is essential for success in this role. Key Responsibilities Define and maintain a multi-year AI roadmap, identifying key milestones for feature releases in collaboration with Intuitive platform product teams. Inform the broader AI vision and strategy and align talent and resources pragmatically to demonstrate capabilities. Lead the early-stage phase of AI product development, overseeing prototyping, pilot testing, and the transition of research-grade models into production-ready capabilities. Align AI initiatives with product and business goals. Define the organizational approach, attract highly talented leaders and individual contributors, and effectively execute through disciplined planning and resource allocation. Establish robust pipelines for the collection, curation, and de-identification of high-fidelity surgical datasets, ensuring compliance with global privacy standards and minimizing algorithmic bias. Partner with regulatory and product teams to define strategy and technical implementation ensuring safe and effective advanced capabilities. Serve as an AI subject matter expert for the company, bridging the gap between hardware engineering, clinical affairs, and commercial strategy, in coordination with senior leadership and product managers. Stay abreast of leading-edge capabilities in surgical AI and ensure Intuitive leadership through internal development and recruitment of world class talent. Collaborate with stakeholders across product, data, legal, and engineering. Qualifications Experience and Abilities This role blends leadership, strategy, and technical depth in all aspects of embodied AI. Leadership of medical technology projects from inception through field validation to launch; Strong understanding of medical product ecosystem services. Demonstrated success in taking complex AI products from initial concept through regulatory approval and commercial launch. Experience with modern ML frameworks, edge computing for low-latency inference, and the integration of AI with physical robotic actuators. Ability to communicate effectively with surgeons and clinical staff to translate operative needs into technical requirements. Proven ability to lead in a fast-paced environment, managing the inherent uncertainty of early-stage AI research while maintaining a disciplined path to commercialization. Proven leadership of research and engineering teams. Experience setting technical direction and metrics for success. Skilled in stakeholder communication and cross-team delivery. Confidence working with product and engineering leadership. Experience managing budgets, vendors, and platforms. Addi