Principal Ai Cloud Solution Architect - Agentic Ai

GE HealthCare UK

Bellevue, , United States
Base: $216,240.00-$324,360.00 annual; bonus/equity...
Ai platform and solution ecosystem
Design and implement proof-of-concepts
Reference architectures and reusable templates
Partner with cross-functional teams to understand business use cases, clinical workflows, and digital transformation goals

Job Summary

  • Partner with cross-functional teams 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.
  • Collaborate with engineering teams to ensure microservices and AI capabilities are production-ready, maintainable, and aligned with compliance standards.

Matching Summary

Partner with cross-functional teams to understand business use cases, clinical workflows, and digital transformation goals.

Salary

Base: $216,240.00-$324,360.00 Annual; Bonus/Equity: performance based incentive compensation; Benefits: medical, dental, vision, paid time off, 401(k) plan, life, disability, and accident insurance, tuition reimbursement

Skills & Requirements

Must-have

  • AI platform and solution ecosystem
  • design and implement proof-of-concepts
  • reference architectures and reusable templates
  • guide integration of foundation models
  • advocate for best practices in AI architecture
  • stay at the forefront of AI advancements

Nice-to-have

  • adapt to new technologies quickly
  • manage high ambiguity
  • excellent written and verbal communication
  • presenting and whiteboarding

Key Requirements

  • 8+ years of experience in technology domains
  • Bachelor’s degree in computer science, engineering, mathematics, or equivalent
  • 5+ years of experience developing technology solutions and evangelizing roadmaps
  • 5+ years of experience communicating across technical and non-technical audiences
  • 3+ years of experience in design, implementation, or consulting in applications and infrastructures
  • AWS certification or similar cloud certification
  • Experience architecting and operating cloud-based healthcare AI/ML solutions

Work Rights

Not specified

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