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.
Healthcare · Medical devices
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 |
|---|---|---|
| Test Engineer Test Engineer role focused on manual and automated testing of wearable patient monitoring products, ensuring functionality, reliability, and performance. Responsibilities include test execution, automation development, environment setup, failure investigation, and documentation, with a strong emphasis on compliance with medical regulatory standards. | — | 0 |
| Senior Systems Designer Senior Systems Designer role focused on requirements, documentation, and compliance of connectivity driver software for medical devices in critical healthcare environments. The role operates at the system level, ensuring alignment between requirements, design, risk management, and verification, rather than hands-on software development. Requires experience in regulated environments and formal quality processes. | — | 0 |
| Software Engineer Software Engineer role focused on designing, developing, and maintaining embedded product software for medical devices, including data acquisition, real-time processing, and testing. The role emphasizes adherence to SDLC Agile/Lean best practices, software security, and regulatory compliance within the healthcare domain. |
| — |
| 0 |
| Senior Software Engineer Senior Software Engineer role at GE Healthcare in Finland, focusing on the design, implementation, and testing of medical applications. Responsibilities include developing software from sensor data acquisition to UI, ensuring robust and high-quality code, and working within an agile, multi-disciplinary team. Requires a Bachelor's degree in a relevant engineering field, substantial experience in software platforms and UI design, and deep C++ expertise. Desired qualifications include experience with Linux, Qt, Python, embedded systems, IoT, and test automation. | — | 0 |
| Lead Electronics Engineer Lead Electronics Engineer responsible for the electrical design of medical devices, including schematics, layout, and testing, within the healthcare technology industry. | — | 0 |
| Senior Software Engineer - Linux Platform Senior Software Engineer to work on the Linux platform for GE Healthcare's patient monitor products. The role involves developing and maintaining a Yocto-based Linux distribution with real-time components, focusing on specifying functionality, integrating components, designing and developing software, and ensuring privacy and security. | — | 0 |
| Senior Software Engineer Senior Software Engineer to define, develop, and maintain embedded product software for medical devices, working closely with cross-functional teams and ensuring regulatory compliance. Focus on data acquisition, real-time processing, and embedded systems. | — | 0 |