Engineering Leader – Clinical Data Lake Initiative

Bellevue, WA - USA

Yearly Salary: $ 213440 - 320160

Posted on: 23 days ago

Vacancies: 1 Vacancy

Job Summary

Job Description Summary

The Engineering Leader will lead the design architecture and delivery of GE HealthCares Clinical Data Lake the foundational AI platform that will empower scientists researchers and engineers across GEHC to accelerate AI Machine Learning Deep Learning Generative AI and Agentic AI development using multimodal data.
This role will lead a small high-performing engineering team focused on building the data and compute infrastructure that transforms text imaging video waveform EHR genomics and operational data into AI-ready assets. The Clinical Data Lake will serve as the central environment where data scientists and AI researchers can access experiment train and deploy models across device edge and cloud environments.
Working in close collaboration with AI science product and platform engineering leaders this role bridges innovation and scalability enabling model and agent development that supports clinical operational and business transformation.

Job Description

Key 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 GEHCs AI infrastructure.

Qualifications

Masters 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.

We will not sponsor individuals for employment visas now or in the future for this job opening. For U.S. based positions only the pay range for this position is $213440.00-$320160.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills qualifications experience and addition this position may also be eligible to earn performance based incentive compensation which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package including not but limited to medical dental vision paid time off a 401(k) plan with employee and company contribution opportunities life disability and accident insurance and tuition reimbursement.

GE HealthCare offers a great work environment professional development challenging careers and competitive compensation. GE HealthCare is anEqual Opportunity Employer . Employment decisions are made without regard to race color religion national or ethnic origin sex sexual orientation gender identity or expression age disability protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19 some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided: Yes

Job Description SummaryThe Engineering Leader will lead the design architecture and delivery of GE HealthCares Clinical Data Lake the foundational AI platform that will empower scientists researchers and engineers across GEHC to accelerate AI Machine Learning Deep Learning Generative AI and Agentic...

Job Description Summary

Job Description

Key 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 GEHCs AI infrastructure.

Qualifications

Masters 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.