GE HealthCare AI Cloud Solution Architect 

United States, Washington, Bellevue 

573335149

• Partner with cross-functional teams—including clinicians, product managers, engineers, and external stakeholders—to understand business use cases, clinical workflows, and digital transformation goals.
• Leverage the, including, to architect intelligent solutions that address real-world challenges in healthcare delivery, diagnostics, imaging, and operational efficiency.
• Rapidly design and implement
• Developthat streamline the implementation of AI-driven workflows, ensuring scalability, performance, and ease of integration.
• Guide the integration of foundation models—such as those for medical summarization, clinical coding, image annotation, and patient engagement—into enterprise applications in a secure, privacy-compliant, and cost-effective manner.
• Collaborate with engineering teams to ensure microservices and AI capabilities are production-ready, maintainable, and aligned with compliance standards such as HIPAA, GDPR, and FDA guidelines.
• Advocate for best practices in AI architecture, MLOps, data pipeline design, and observability across GEHC’s ecosystem of solutions.

• 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking,, and data & analytics
• Bachelor’s degree in computer science, engineering, mathematics, or equivalent
• 5+ years of experience developing technology solutions and evangelizing end-to-end technology roadmaps that guide IT and, with a focus on regulated industries like healthcare
• 5+ years of experience communicating across technical and non-technical audiences and at C-level, including training, workshops, and publications, with an emphasis on
• 3+ years of experience in design, implementation, or consulting in applications and infrastructures, including, or
• AWS certification, such as AWS Solutions Architect, or a similar cloud certification
• Professional experience architecting and operating, with awareness of compliance standards such as HIPAA, HITRUST, or GxP
• Experience modernizing legacy healthcare IT systems to incorporate, or
• Demonstrated ability to adapt to new technologies, learn quickly, and manage high ambiguity in fast-evolving healthcare AI ecosystems
• Excellent written and verbal communication skills
• Proficiency in presenting and whiteboarding with a high degree of comfort speaking with healthcare executives, IT leadership, clinicians, and developers about