GE HealthCare
The AI/Machine Learning Architect leads the design and operationalization of advanced data science and machine learning solutions across the product portfolio. This role provides technical leadership in building scalable data-driven systems, enabling intelligent features, and driving innovation through analytics and AI. The position involves close collaboration with software, hardware, and system teams to integrate machine learning and data-driven capabilities into products, particularly in regulated environments such as healthcare systems.
Headquarters
Chicago, Illinois, United States
Company Size
10001+ employees
Founded
1892
GE HealthCare is a medical technology company that develops clinical imaging systems, patient monitoring devices, and enterprise digital solutions. It provides digital infrastructure, data analytics and AI-powered decision‑support tools to help clinicians diagnose, treat and monitor patients across radiology, cardiology, oncology and other specialties. Hospitals, health systems and imaging centers use GE HealthCare’s hardware, software and services to improve clinical workflows, operational efficiency and patient outcomes worldwide.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for GE HealthCare.
GE HealthCare didn’t post a salary, so this is our estimate from similar listings.
27% above the average for this role