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 |
|---|---|---|
| Senior QA Engineer (m/f/d) Senior QA Engineer responsible for ensuring the quality, reliability, and safety of complex healthcare software systems, with an emphasis on using generative AI tools to enhance testing activities within a regulated healthcare environment. | Ship | 5 |
| Product Security Assessment Engineer This role focuses on product security assessment within GE Healthcare, involving daily execution of internal product security testing for new releases. The engineer will research new threats, simulate cyber attacks on products and services, and build/execute tests to detect design flaws and vulnerabilities. The role requires expertise in cybersecurity domains like network, cloud, and reverse engineering, with experience in penetration testing and debugging. While the role uses LLM and Agentic AI for testing orchestration, its core function is cybersecurity assessment, not AI model development. | — |
| 0 |