AI Cloud Solution Architect

GE HEALTHCARE • Bellevue, WA

49d

About The Position

Job Description Summary Job Description Key Responsibilities • 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 GE HealthCare AI platform, including modular microservices, large language models (LLMs), and foundation models, to architect intelligent solutions that address real-world challenges in healthcare delivery, diagnostics, imaging, and operational efficiency. • Rapidly design and implement proof-of-concepts (POCs) aligned to specific business needs, using AI models and microservices to validate solution viability, accelerate decision-making, and demonstrate clinical impact. • Develop reference architectures and reusable solution templates that 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. • Stay at the forefront of advancements in AI, generative models, healthcare interoperability, and cloud-native technologies, and translate this knowledge into innovation for GE HealthCare’s customers. • Participate in customer engagements, strategic planning sessions, and technical workshops to evangelize the value of GE HealthCare’s AI platform and solution ecosystem.

Requirements

• 8+ years of experience in technology domains such as software development, cloud computing, systems engineering, infrastructure, security, networking, AI/ML platforms, 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 AI/ML transformations, 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 AI-driven innovation in healthcare
• 3+ years of experience in design, implementation, or consulting in applications and infrastructures, including clinical AI solutions, predictive modeling, or health data platforms

Nice To Haves

• AWS certification, such as AWS Solutions Architect, or a similar cloud certification
• Professional experience architecting and operating cloud-based healthcare AI/ML solutions, with awareness of compliance standards such as HIPAA, HITRUST, or GxP
• Experience modernizing legacy healthcare IT systems to incorporate AI-enabled decision support, clinical workflow automation, or patient engagement tools
• 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 AI/ML strategy, clinical impact, and infrastructure

Responsibilities

• 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 GE HealthCare AI platform, including modular microservices, large language models (LLMs), and foundation models, to architect intelligent solutions that address real-world challenges in healthcare delivery, diagnostics, imaging, and operational efficiency.
• Rapidly design and implement proof-of-concepts (POCs) aligned to specific business needs, using AI models and microservices to validate solution viability, accelerate decision-making, and demonstrate clinical impact.
• Develop reference architectures and reusable solution templates that 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.
• Stay at the forefront of advancements in AI, generative models, healthcare interoperability, and cloud-native technologies, and translate this knowledge into innovation for GE HealthCare’s customers.
• Participate in customer engagements, strategic planning sessions, and technical workshops to evangelize the value of GE HealthCare’s AI platform and solution ecosystem.

Benefits

• GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
• GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation.
• Relocation Assistance Provided: Yes

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees