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 / ML Architect GE Healthcare is seeking an AI/ML Architect to design, develop, and operationalize advanced data science and machine learning solutions for their product portfolio, focusing on integrating AI into healthcare products within regulated environments. The role involves leading the architecture of end-to-end ML systems, developing predictive models, collaborating with cross-functional teams, and ensuring regulatory compliance and MLOps best practices. | Ship | 7 |
| Staff AI/ML Engineer Staff AI/ML Engineer at GE Healthcare in Seongnam, Gyeonggi-do, Korea, Republic of. This role focuses on designing, developing, and delivering advanced data science and machine learning solutions to enhance product capabilities. The engineer will be responsible for hands-on model development, implementation, and integration into production systems, with a focus on scalable and reliable performance. The role involves end-to-end model lifecycle management, including data preparation, training, evaluation, validation, deployment, monitoring, and optimization. Collaboration with cross-functional teams and global teams is essential. Experience in healthcare data, medical imaging, or regulated environments is preferred. |
| ServePost-train |
| 7 |