GE Healthcare
Healthcare · Medical devices
- HQ
- Chicago, US
- Founded
- 2004
- Website
- gehealthcare.com
Currently tracking 19 active AI roles, up 20% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $110k–$240k (avg $179k).
Healthcare · Medical devices
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 28 active AI-related roles in our index. The most common open titles are: AI Scientist (2), Principal AI Architect (2), Staff AI Scientist (2), AI Algorithm and Development Software Engineer, AI Regulatory Engineer. Most positions are in Engineering and Research.
GE Healthcare's active AI hiring is concentrated in: agents (46%), application (21%), data (11%). 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 (11 roles), United States (6 roles), China (5 roles), Israel (2 roles).
Job postings at GE Healthcare most frequently reference: fine tuning, agent orchestration, model serving, rag, multimodal.
In the past 30 days, GE Healthcare has posted 18 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Chief AI Engineer Chief AI Engineer at GE Healthcare to lead strategic development and implementation of AI initiatives in medical imaging and healthcare solutions, focusing on innovation, product performance, and ethical integration in regulated environments. | ShipPost-train | 8 |
| Technology Director, Connected Health and Artificial Intelligence Technology Director for Connected Health & Artificial Intelligence at GE Healthcare's global innovation engine (HTIC). Responsible for shaping future technology roadmaps in digital health, multimodal data science, device-integrated AI, and clinical workflow intelligence. Drives innovation from research to impact, focusing on high-value AI capabilities, external partnerships, and scalable foundation technologies. Requires a Ph.D. and 10+ years of experience in AI research and development, with a proven track record in healthcare and securing external funding. |
| ShipData |
| 8 |
| Sr. Program Manager - AI Digital Solutions The Sr. Program Manager will lead cross-functional teams to deliver AI-powered digital products and solutions in healthcare, ensuring programs are delivered on time, within scope, and budget, while meeting regulatory, clinical, and customer requirements. This role drives the AI Development Lifecycle from concept to post-market monitoring, champions Generative AI tools, and manages AI-specific risks in a regulated environment. | ShipPost-train | 7 |
| AI Regulatory Engineer This role focuses on ensuring AI-based clinical features for ultrasound systems comply with global regulatory requirements, particularly FDA regulations for AI-enabled medical devices. The AI Regulatory Engineer will define and execute AI regulatory strategies, risk management, and submission pathways across the full product lifecycle, working closely with AI engineering, clinical, quality, and product management teams. | Ship | 7 |
| Staff Algorithm Engineer Staff Algorithm Engineer at GE Healthcare focused on designing, validating, and implementing ECG and cardiology algorithms for regulated medical devices. This role involves translating Python research algorithms into safety-critical C/C++ code within a strict Quality Management System and Design Controls framework, requiring expertise in signal processing, software engineering, and clinical cardiology workflows. | ShipData | 7 |
| Staff Data Scientist Staff Data Scientist role focused on building and deploying enterprise-grade AI/ML solutions for commercial operations, supply chain, manufacturing, and finance within GE HealthCare. Requires experience in model development, deployment, MLOps, and cross-functional collaboration. | Ship | 7 |
| Senior Software Engineer Senior Software Engineer responsible for the development and evolution of ultrasound system software, including the integration of AI and Deep Learning. The role involves technical leadership within an agile team, translating product requirements into user stories, and contributing to software design and development using modern technologies. Focus on agile methodologies, SDLC principles, and ensuring quality in product development. | Ship | 5 |
| 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 |
| Digital Factory Leader - Central Advanced Manufacturing Engineering This role leads the Digital Factory transformation at GE HealthCare, focusing on standardizing platforms, data, and AI-powered workflows to improve quality, reduce costs, and accelerate product launches. The leader will build a Digital Factory playbook, guide plants from isolated tools to connected, AI-ready operations with unified analytics and real-time visibility, and partner with IT and sites to deploy digital, automation, and AI building blocks across factories, tracking project value delivery. | Ship | 5 |
| Lead Clinical Applications Engineer Lead Clinical Applications Engineer for GE Healthcare's PET-CT R&D, focusing on new product introduction and continuous improvement of imaging systems and software. The role requires clinical and application expertise to ensure solutions meet clinical needs, deliver strong image quality and quantification, and perform reliably. Responsibilities include serving as a clinical reference, investigating complex issues, translating clinical needs into requirements, and supporting the design and validation of applications, reconstruction methods, and workflow solutions. The role also involves participating in the evaluation of AI-enabled features and contributing to documentation. | Ship | 5 |