Engineering Leader – Clinical Data Lake Initiative at GE Healthcare

Bellevue, Washington, United States

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Not SpecifiedCompensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Healthcare, TechnologyIndustries

Requirements

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

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

Skills

Key technologies and capabilities for this role

Machine LearningDeep LearningGenerative AIAgentic AIData LakeMultimodal DataDistributed SystemsML InfrastructureData GovernanceObservabilityResponsible AIModel TrainingInferenceCompute OrchestrationAI Fabric

Questions & Answers

Common questions about this position

What qualifications and experience are required for this role?

A Master’s or Ph.D. in Computer Science, Data Engineering, or related STEM field is required, along with 10+ years of experience in AI/ML engineering or software architecture, including at least 3 years in people or technical leadership.

What technical skills are needed for the Engineering Leader position?

Deep expertise in machine learning, deep learning, generative AI, and agentic AI is required, with proficiency in Python, PyTorch, TensorFlow, and distributed computing frameworks like Spark, Ray, and Kubernetes, plus familiarity with LLM frameworks such as Hugging Face and LangChain.

What is the team structure like for this role?

The role involves leading a small, high-performing engineering team focused on building the data and compute infrastructure for the Clinical Data Lake platform.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

GE Healthcare

Healthcare technology and data analytics provider

About GE Healthcare

GE Healthcare provides a range of healthcare technologies and services aimed at improving patient care. Its main products include imaging systems, mobile diagnostic devices, patient monitoring solutions, and advanced software for data analysis. These products help medical professionals make informed decisions and enhance the efficiency of healthcare delivery. Unlike many competitors, GE Healthcare invests significantly in research and development, allocating $1 billion each year to innovate and enhance its offerings. The company’s goal is to support healthcare providers in delivering better patient outcomes, as evidenced by its technology supporting over 300,000 patients daily and managing 2 billion patient scans each year.

Chicago, IllinoisHeadquarters

1892Year Founded

N/ACompany Stage

Data & Analytics, HealthcareIndustries

10,001+Employees

Risks

Emerging AR technologies increase competition in medical imaging.

Regulatory challenges may delay AI application expansions in healthcare.

Dependence on clinical trial success for new product market positioning.

Differentiation

GE Healthcare invests $1 billion annually in R&D for product innovation.

The company supports over 300,000 patients daily with its healthcare technologies.

GE Healthcare's AIR Recon DL offers 3D motion-insensitive imaging for enhanced MRI quality.

Upsides

Acquisition of Caption Health expands AI-powered ultrasound capabilities.

Successful Phase III trial of [18F]flurpiridaz enhances coronary artery disease detection.

Collaboration with Wayra accelerates digital health innovation in EMEA.

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