Chief AI Officer

GE HEALTHCARE•Bellevue, WA

4d•$348,000 - $522,000

About The Position

This role is responsible for leading GE HealthCare’s AI strategy, focusing on scaling enterprise AI capabilities, reusable AI components, and workflow intelligence across products, software, and care pathways. The position emphasizes operationalizing AI at an enterprise scale within regulated environments, enabling hybrid edge/cloud inference across clinical, operational, and enterprise workflows. The Chief AI Officer will shape the company's AI investments, translate AI advancements into measurable outcomes, and accelerate AI-enabled software and SaaS growth.

Requirements

Proven executive leadership in artificial intelligence, machine learning, digital health, enterprise software, or a related domain.
Demonstrated success scaling enterprise AI capabilities into production-grade environments, including hybrid edge/cloud inference and real-world deployment.
Deep experience across the AI lifecycle, including continuous validation, monitoring, governance, and lifecycle management of AI products across installed base and cloud environments.
Strong understanding of modern AI systems and enterprise AI architecture, including foundation models, multimodal AI, agentic systems, orchestration, and enterprise data layers.
Track record of building reusable AI capabilities and shared platforms that drive enterprise leverage across multiple products, segments, or business units.
Experience translating AI investments into measurable business outcomes, including improvements in time-to-decision, operational workflow, and software/SaaS growth.
Experience operating within regulated environments, partnering across engineering, product, regulatory, legal, and commercial functions.
Strong external credibility and engagement across industry, partners, and the broader AI ecosystem.

Nice To Haves

Enterprise thinker who connects AI strategy to architecture, workflow, and business outcomes.
Operator-builder who can scale AI capability and reusable enterprise leverage, not just vision.
Deeply grounded in real-world application of AI, including operational workflow integration, monitoring, and lifecycle performance.
Strong orientation toward Responsible AI, governance, and trust in complex, regulated environments.
Highly credible across technical, product, and executive audiences.
Pragmatic innovator who balances cutting-edge capabilities (e.g., foundation models, multimodal AI, agentic systems) with operational rigor and business impact.
External thought leader who helps shape the direction of healthcare AI.

Responsibilities

Define and drive GE HealthCare’s enterprise AI strategy, shaping how AI enables product innovation, workflow transformation, enterprise AI architecture, and AI-enabled software and SaaS growth.
Scale reusable AI capabilities, enterprise services, and common components that create reusable AI leverage across segments and platforms.
Lead multidisciplinary teams spanning applied science, AI engineering, enterprise architecture, clinical AI strategy, governance, and workflow orchestration.
Advance modern enterprise AI architecture, including foundation models, multimodal AI, agentic systems, orchestration layers, and enterprise data layers, enabling seamless integration across products and environments.
Drive enterprise AI lifecycle management and operationalization at scale, including continuous validation, monitoring, deployment, and performance optimization of AI products across installed base and cloud environments.
Enable hybrid edge/cloud inference strategies that support real-time, reliable AI deployment across devices, software, and clinical workflows.
Partner across business, product, engineering, regulatory, legal, and operational leaders to embed AI into real-world healthcare environments, improving operational workflow, reporting, and longitudinal care processes.
Accelerate the transition from standalone AI features to enterprise workflow intelligence that materially improves time-to-decision, operational performance, care coordination, and longitudinal intelligence.
Establish and uphold enterprise-wide AI governance and Responsible AI frameworks, including regulatory compliance, validation standards, privacy, security, and trust.
Guide strategic investment decisions to maximize enterprise impact, platform leverage, and differentiated growth.
Represent GE HealthCare externally with regulators, standards bodies, partners, and academic ecosystems to shape the future of healthcare AI.