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GE HealthCare Technologies is seeking a Staff Cloud and AI Integration Engineer with expertise in cloud-native development, microservices architecture, and AI integration. The role focuses on building intelligent workflows and integrating AI capabilities into applications, particularly in the healthcare domain.
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Job Summary
This role focuses on integrating AI capabilities into applications by building MCP servers, context providers, and orchestration layers rather than hosting models.
The ideal candidate will design scalable microservices-based applications ensuring availability, resiliency, and observability across major cloud providers.
Relocation assistance is provided for the successful candidate to join GE HealthCare Technologies.
Matching Summary
Match Score: 75
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GE HealthCare Technologies is seeking a Staff Cloud and AI Integration Engineer with expertise in cloud-native development, microservices architecture, and AI integration. The role focuses on building intelligent workflows and integrating AI capabilities into applications, particularly in the healthcare domain.
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Skills & Requirements
Must-have
Cloud-native microservices architecture
Docker and Kubernetes containerization
Infrastructure as Code with Terraform
CI/CD pipeline development
LLM, RAG, and Agentic AI concepts
MCP server implementation
Distributed systems best practices
Nice-to-have
Experience with DICOM standards
Healthcare domain knowledge
TypeScript frontend integration
Generative AI production experience
Advanced prompt engineering skills
Key Requirements
Bachelor's or Master's degree in Computer Science or Engineering
6+ years of experience building cloud-native applications
3+ years of working experience with LLMs and AI workflows