At Edwards Lifesciences, the Advanced Innovation & Technology (AI&T) teams harness imagination, courage, and resourcefulness to think beyond what’s currently possible, and create solutions for patients many years into the future.
As part of AI&T, we're building an AI Center of Excellence (COE) focused on applying the power of AI to help patients live longer, healthier lives. As we expand our focus across the structural heart disease journey, AI is creating new opportunities to better understand and improve patient care. Our teams are applying AI to support clinical decision-making, identify patients earlier, develop digital solutions that complement our therapies, and help employees work more efficiently so they can focus on work that matters most. We're building an AI COE that collaborates across our innovation-focused teams throughout our global organization, helping accelerate innovation and build AI capabilities that create lasting impact for patients, clinicians, and employees. Together, we're committed to applying AI responsibly and thoughtfully while keeping patients at the center of everything we do.
This is a rare opportunity to help define how AI is applied across the structural heart disease journey while shaping the next generation of therapies, digital solutions, and patient experiences. We’ll give you the tools and resources you need to create groundbreaking innovations that shape the future of structural heart technology.
How you will make an impact:
Design reusable, secure, multi-tenant AI services that product and business teams can consume without rebuilding common capabilities
Operate the AI platform as an internal product with defined customers, roadmap, service levels, adoption measures, and developer experience
Chair the operating cadence of the AI Center of Excellence
Own build, buy, or rent decisions for AI capabilities, with the authority to stop an internal build
Own the reference architecture and enforce technical standards across all AI initiatives
Own the AI gateway, model routing, and observability layer
Build and lead delivery pods that include engineers from IT under a formal shared-capacity agreement
Own and rationalize the AI platform estate, including vendor spend attribution
Own production reliability for AI applications
What you'll need (Required):
Bachelor's degree plus 12 years of experience in software or AI architecture, including at least 5 years in a formal technical leadership or chief architect capacity
Experience negotiating a formal shared-capacity or co-delivery model with an internal IT organization
What else we look for (Preferred):
AI reference architecture design, platform rationalization, and vendor spend management (FinOps)
Hands-on fluency with enterprise cloud AI platforms, API and microservices design, MLOps or LLMOps, observability, and secure production operations; experience with major cloud platforms is illustrative rather than mandatory
Player-coach technical leadership: setting direction and writing code or reviewing designs personally, not managing through layers
Platform product management, internal developer-platform design, service-level management, and adoption measurement
Experience consolidating a fragmented platform or vendor estate
Experience chairing or running a cross-functional technical governance body
Demonstrated ability to manage one or more teams and provide coaching and feedback, including responsibility for all employee actions, hire/fire authority, and partnering with HR on all aspects of employee relations
Ability to interact professionally with all organizational levels and proactively escalate issues to appropriate levels of management
Ability to work and excel within a fast-paced, dynamic, and constantly changing work environment
Ability to ensure team alignment to strategic goals and initiatives through regular communication
Ability to coach and mentor team members, including dotted-line reports as necessary; align team members in roles…