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 12 new AI-related roles. That is a -45% change versus the prior 30 days (22 → 12).
| Title | Stage | AI score |
|---|---|---|
| AI Algorithm and Development Software Engineer AI Algorithm and Development Software Engineer at GE Healthcare responsible for fine-tuning LLMs, prompt engineering, function calling optimization, advanced reasoning technologies, building LLM evaluation systems, and developing core Agent runtime systems and multi-Agent collaboration mechanisms. The role involves translating research into implementable technical solutions for healthcare applications. | AgentPost-train | 9 |
| Principal Engineer - Physical AI for XRay This Principal Engineer role focuses on leading the system architecture and development of autonomous X-ray systems and intelligent imaging workflows within GE Healthcare. The position involves integrating multi-modal sensors, control systems, and embedded hardware-software solutions, applying AI/automation to enhance system intelligence and usability, and defining human-machine interaction for clinical workflows. The role requires strong expertise in robotics, autonomous systems, multi-sensor integration, control systems, and embedded systems, with a focus on safety-critical design and technical leadership. |
| Agent |
| 7 |