GE HealthCare Technologies is seeking a Senior Staff Solution Architect specializing in AI and Cloud to design scalable AI platforms on AWS. The ideal candidate will have extensive experience in AI/ML engineering, cloud architecture, and MLOps, focusing on enterprise-grade solutions. This hybrid role emphasizes innovation in Generative AI and agentic systems while ensuring compliance and security
Job Summary
This role leads the design of scalable AI platforms and intelligent solutions on AWS for GE HealthCare Technologies.
The position requires deep expertise in Generative AI, agentic systems, and MLOps to drive innovation in healthcare.
Candidates will ensure enterprise-grade security and compliance with standards like HIPAA and SOC2 while architecting end-to-end AI pipelines.
Matching Summary
Match Score: 85
GE HealthCare Technologies is seeking a Senior Staff Solution Architect specializing in AI and Cloud to design scalable AI platforms on AWS. The ideal candidate will have extensive experience in AI/ML engineering, cloud architecture, and MLOps, focusing on enterprise-grade solutions. This hybrid role emphasizes innovation in Generative AI and agentic systems while ensuring compliance and security.
Skills & Requirements
Must-have
AWS SageMaker and Bedrock expertise
Generative AI and Agentic AI systems
MLOps and MLflow framework implementation
Python programming with PyTorch/TensorFlow
Infrastructure as Code using Terraform/CDK
HIPAA and GDPR compliance architecture
Nice-to-have
Experience with LangChain or LlamaIndex
Vector database knowledge like Pinecone
Streaming data technologies such as Kafka
Multi-agent system orchestration experience
Enterprise SaaS platform background
AWS Certified Solutions Architect Professional
Key Requirements
12+ years of experience in software engineering and AI/ML
Bachelor's or Master's degree in Computer Science or related field
PhD preferred in Computer Science, AI, or Data Science