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 31 active AI-related roles in our index. The most common open titles are: Principal AI Architect (2), Senior Staff AI Scientist (2), Staff AI Scientist (2), AI / ML Architect, AI Algorithm and Development Software Engineer. Most positions are in Engineering and Research.
GE Healthcare's active AI hiring is concentrated in: agents (42%), application (23%), post-training (13%). 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 (14 roles), United States (4 roles), China (4 roles), South Korea (3 roles).
Job postings at GE Healthcare most frequently reference: model serving, fine tuning, agent orchestration, multimodal, rag.
In the past 30 days, GE Healthcare has posted 11 new AI-related roles. That is a -52% change versus the prior 30 days (23 → 11).
| Title | Stage | AI score |
|---|---|---|
| Software Engineer Software Engineer at GE Healthcare focused on designing, building, and optimizing MRI image reconstruction algorithms and software, including classical and deep learning-based methods. The role involves translating prototypes into clinical-grade products, improving performance, and handling data pipelines for MRI reconstruction. | Post-trainServe | 7 |
| Lead Image Quality Engineer Lead Image Quality Engineer at GE Healthcare responsible for image chain hardware and image processing algorithm design for mobile C-arm X-ray products. This role involves designing, adjusting, and optimizing algorithms to meet clinical requirements, managing X-ray exposure for dose-quality balance, and collaborating with customers and marketing on new features. The engineer will test and evaluate imaging components, support manufacturing and service, and research new X-ray imaging technologies. Requires a Master's degree in a related field, 3+ years of experience in medical imaging, strong skills in image/signal processing and mathematical modeling, proficiency in MATLAB/Python/C/C++, and familiarity with AI development processes. |
| Post-train |
| 5 |