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Engineering Leader – Clinical Data Lake Initiative

GE Healthcare

Software and Technology Jobs

Engineering Leader – Clinical Data Lake Initiative

full-timePosted: Jan 14, 2026

Job Description

Job Description Summary

The Engineering Leader will lead the design, architecture, and delivery of GE HealthCare’s 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 GEHC’s AI infrastructure.

Qualifications

  • 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.

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 $213,440.00-$320,160.00 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 location. In 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 an Equal 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

Locations

  • Bellevue, Washington, United States of America

Salary

213,440 - 320,160 USD / yearly

Estimated Salary Rangemedium confidence

70,000 - 120,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • PyTorchintermediate
  • TensorFlowintermediate
  • Sparkintermediate
  • Rayintermediate
  • Kubernetesintermediate
  • Hugging Faceintermediate
  • LangChainintermediate

Required Qualifications

  • Master’s or Ph.D. in Computer Science, Data Engineering, or related STEM field (experience)
  • 10+ years of experience in AI/ML engineering or software architecture (experience)
  • at least 3 years in people or technical leadership (experience)
  • Experience in regulated environments with privacy, security, and compliance standards (HIPAA, GDPR) (experience)

Responsibilities

  • Lead the design and implementation of scalable ML and data infrastructure
  • Build, mentor, and guide a small engineering team
  • Partner with scientists, researchers, and AI teams to provide standardized data access
  • Architect distributed systems optimized for model training, fine-tuning, inference, and real-time reasoning
  • Implement rigorous standards for data governance, observability, and Responsible AI

Benefits

  • general: medical
  • general: dental
  • general: vision
  • general: paid time off
  • general: 401(k) plan with employee and company contribution opportunities
  • general: life insurance
  • general: disability insurance
  • general: accident insurance
  • general: tuition reimbursement

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GE Healthcare logo

Engineering Leader – Clinical Data Lake Initiative

GE Healthcare

Software and Technology Jobs

Engineering Leader – Clinical Data Lake Initiative

full-timePosted: Jan 14, 2026

Job Description

Job Description Summary

The Engineering Leader will lead the design, architecture, and delivery of GE HealthCare’s 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 GEHC’s AI infrastructure.

Qualifications

  • 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.

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 $213,440.00-$320,160.00 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 location. In 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 an Equal 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

Locations

  • Bellevue, Washington, United States of America

Salary

213,440 - 320,160 USD / yearly

Estimated Salary Rangemedium confidence

70,000 - 120,000 USD / yearly

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Pythonintermediate
  • PyTorchintermediate
  • TensorFlowintermediate
  • Sparkintermediate
  • Rayintermediate
  • Kubernetesintermediate
  • Hugging Faceintermediate
  • LangChainintermediate

Required Qualifications

  • Master’s or Ph.D. in Computer Science, Data Engineering, or related STEM field (experience)
  • 10+ years of experience in AI/ML engineering or software architecture (experience)
  • at least 3 years in people or technical leadership (experience)
  • Experience in regulated environments with privacy, security, and compliance standards (HIPAA, GDPR) (experience)

Responsibilities

  • Lead the design and implementation of scalable ML and data infrastructure
  • Build, mentor, and guide a small engineering team
  • Partner with scientists, researchers, and AI teams to provide standardized data access
  • Architect distributed systems optimized for model training, fine-tuning, inference, and real-time reasoning
  • Implement rigorous standards for data governance, observability, and Responsible AI

Benefits

  • general: medical
  • general: dental
  • general: vision
  • general: paid time off
  • general: 401(k) plan with employee and company contribution opportunities
  • general: life insurance
  • general: disability insurance
  • general: accident insurance
  • general: tuition reimbursement

Target Your Resume for "Engineering Leader – Clinical Data Lake Initiative" , GE Healthcare

Get personalized recommendations to optimize your resume specifically for Engineering Leader – Clinical Data Lake Initiative. Takes only 15 seconds!

AI-powered keyword optimization
Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Engineering Leader – Clinical Data Lake Initiative" , GE Healthcare

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Answer 10 quick questions to check your fit for Engineering Leader – Clinical Data Lake Initiative @ GE Healthcare.

Quiz Challenge
10 Questions
~2 Minutes
Instant Score

Related Books and Jobs

No related jobs found at the moment.