GE Healthcare
Healthcare · Medical devices
- HQ
- Chicago, US
- Founded
- 2004
- Website
- gehealthcare.com
Currently tracking 19 active AI roles, up 20% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $110k–$240k (avg $179k).
Healthcare · Medical devices
GE Healthcare currently has 26 active job listings related to artificial intelligence. The majority of these roles, 50%, are focused on agents, with application roles making up another 23%. The company is primarily hiring for Engineering positions, with 18 listings in this function, and is recruiting in India and the United States. Frequent technology tags include agent_orchestration, fine_tuning, and rag. Over the last 30 days, GE Healthcare has posted 20 new AI roles, an 82% increase compared to the previous 30-day period.
GE Healthcare currently has 28 active AI-related roles in our index. The most common open titles are: AI Scientist (2), Principal AI Architect (2), Staff AI Scientist (2), AI Algorithm and Development Software Engineer, AI Regulatory Engineer. Most positions are in Engineering and Research.
GE Healthcare's active AI hiring is concentrated in: agents (46%), application (21%), data (11%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
GE Healthcare is hiring AI talent in: India (11 roles), United States (6 roles), China (5 roles), Israel (2 roles).
Job postings at GE Healthcare most frequently reference: fine tuning, agent orchestration, model serving, rag, multimodal.
In the past 30 days, GE Healthcare has posted 18 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Senior AI Engineer, Enterprise AI Senior AI Engineer role focused on developing and deploying GenAI and Agentic AI solutions within GE Healthcare, involving RAG, agent workflows, and LLM orchestration to solve business challenges across various departments. | Agent | 8 |
| Staff Algorithm Engineer Staff Algorithm Engineer at GE Healthcare focused on designing, validating, and implementing ECG and cardiology algorithms for regulated medical devices. This role involves translating Python research algorithms into safety-critical C/C++ code within a strict Quality Management System and Design Controls framework, requiring expertise in signal processing, software engineering, and clinical cardiology workflows. | ShipData |
| 7 |