GE HealthCare · 1 day ago
Engineering Leader – Clinical Data Lake Initiative
GE HealthCare is seeking an Engineering Leader for the Clinical Data Lake Initiative, which serves as a foundational AI platform. The role involves leading a high-performing engineering team to design and deliver a data infrastructure that transforms various data types into AI-ready assets, facilitating model and agent development for clinical and operational transformation.
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Responsibilities
Lead the design and implementation of scalable ML and data infrastructure that enables multimodal data access for AI and ML development across GE HealthCare
Build, mentor, and guide a small engineering team developing core components of the Clinical Data Lake platform
Partner with scientists, researchers, and AI teams to provide standardized data access, training pipelines, and compute orchestration for foundation and generative models
Architect distributed systems optimized for model training, fine-tuning, inference, and real-time reasoning across device, edge, and cloud environments
Collaborate with product management to align technical capabilities with research and clinical requirements
Integrate the Clinical Data Lake with GEHC AI Fabric and other enterprise systems to support end-to-end AI lifecycle management
Implement rigorous standards for data governance, observability, and Responsible AI, ensuring reproducibility, compliance, and security
Continuously evaluate emerging technologies in multimodal learning, generative AI, and agentic systems to advance GEHC’s AI infrastructure
Qualification
Required
Master's or Ph.D. in Computer Science, Data Engineering, or related STEM field
10+ years of experience in AI/ML engineering or software architecture, with at least 3 years in people or technical leadership
Deep expertise in machine learning, deep learning, generative AI, and agentic AI systems
Proven experience building and optimizing ML infrastructure and pipelines for multimodal data (text, imaging, waveform, EHR, genomics, video)
Proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks (Spark, Ray, Kubernetes)
Familiarity with LLM and agentic AI frameworks (Hugging Face, LangChain, OpenAI, Anthropic, etc.)
Experience working in regulated environments with strong understanding of privacy, security, and compliance standards (HIPAA, GDPR)
Excellent collaboration and leadership skills, able to connect technical development with business and research priorities
Benefits
Medical
Dental
Vision
Paid time off
A 401(k) plan with employee and company contribution opportunities
Life
Disability
Accident insurance
Tuition reimbursement
Company
GE HealthCare
GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.
Funding
Current Stage
Public CompanyTotal Funding
$5.52BKey Investors
Bill & Melinda Gates Foundation
2024-11-07Post Ipo Secondary· $1.17B
2024-09-12Post Ipo Secondary· $1.29B
2024-02-16Post Ipo Secondary· $1.07B
Leadership Team
Recent News
2026-01-16
Medical Device Network
2026-01-16
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