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GE HealthCare is seeking a Senior Staff AI & Cloud Solution Architect with extensive experience in AI/ML engineering and cloud architecture to lead the development of scalable AI platforms on AWS. The ideal candidate will have a strong background in machine learning, deep learning, and MLOps, along with a focus on security and compliance in SaaS environments.
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Job Summary
This role is instrumental in shaping the organization's AI platform strategy to enable rapid deployment of next-generation Generative AI solutions.
The successful candidate will architect end-to-end AI pipelines ensuring scalability, security, and compliance within a global healthcare technology context.
GE HealthCare offers a culture that fosters care and collaboration where employees are encouraged to turn ideas into world-changing realities.
Matching Summary
Match Score: 75
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GE HealthCare is seeking a Senior Staff AI & Cloud Solution Architect with extensive experience in AI/ML engineering and cloud architecture to lead the development of scalable AI platforms on AWS. The ideal candidate will have a strong background in machine learning, deep learning, and MLOps, along with a focus on security and compliance in SaaS environments.
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Skills & Requirements
Must-have
AWS SageMaker and Bedrock expertise
Generative AI and Agentic AI systems
MLOps and MLflow framework implementation
Python programming with PyTorch or TensorFlow
Infrastructure as Code using Terraform or CDK
Multi-tenant SaaS platform architecture
Nice-to-have
Experience with LangChain or LlamaIndex orchestration
Knowledge of vector databases like Pinecone
Familiarity with Kafka and Spark streaming
AWS Certified Solutions Architect Professional
Background in regulated industry compliance
Key Requirements
12+ years 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