AI Cloud Solution Architect

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AI Cloud Solution Architect Apply locations WA07-01-Bellevue-th Avenue NE time type Full time posted on Posted 30+ Days Ago job requisition  R4023973
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 Health Care 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 Health Care’s customers.

• Participate in customer engagements, strategic planning sessions, and technical workshops to evangelize the value of GE Health Care’s AI platform and solution ecosystem.

BASIC QUALIFICATIONS

• 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

PREFERRED QUALIFICATIONS

• 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

For U.S. based positions only, the pay range for this position is $-$ Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case.

The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition,…