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GE HealthCare · 1 month ago

Engineering Leader – Clinical Data Lake Initiative

Bellevue

Full-time

Onsite

Senior Level, Lead/Staff

$213K/yr - $320K/yr

10+ years exp

GE HealthCare is a leading company in the healthcare technology sector, and they are seeking an Engineering Leader for their Clinical Data Lake Initiative. The role involves leading a team to design and implement AI infrastructure that supports multimodal data access and AI development, while collaborating with various stakeholders to ensure alignment with clinical and research needs.

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Growth Opportunities

No H1B

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

AI/ML engineeringMachine learningDeep learningGenerative AIPythonPyTorchTensorFlowDistributed computingMultimodal dataData governancePrivacy standardsSecurity standardsCompliance standardsLeadership skillsCollaboration skills

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

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GE Healthcare provides a wide range of medical technologies and services to healthcare providers and researchers. It is a sub-organization of General Electric.

Founded in 1892

Chicago, Illinois, USA

10001+ employees