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.
Currently tracking 19 active AI roles, up 20% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $110k–$240k (avg $179k).
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 |
|---|---|---|
| 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 AI Architect The Principal Architect – AI & Equipment Data Management defines and governs the enterprise architecture for AI-powered equipment intelligence platforms, focusing on the Equipment Intelligence 2.0 transformation. This involves scalable data platforms, fine-tuned LLMs, RAG, and agentic AI capabilities. The role provides architectural leadership across cloud, AI, and data, ensuring alignment with security, privacy, compliance, and AI governance standards. |
| AgentPost-train |
| 8 |
| Senior Manager - AI & Cloud Engineering Senior Manager to lead the design, development, and scaling of AI-first, cloud-first platforms, focusing on AI/ML platforms, MLOps, GenAI, and SaaS products on AWS. The role involves building engineering teams, driving strategy, and ensuring cost efficiency in AI-driven systems within the healthcare domain. | ServeData | 8 |
| Senior AI Engineer, Enterprise AI Senior AI Engineer role focused on developing and deploying GenAI and Agentic AI solutions within GE Healthcare, involving RAG, agent workflows, and LLM orchestration to solve business challenges across various departments. | Agent | 8 |
| 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 |
| Senior Simulation Data Engineer The Senior Synthetic Data Engineer will architect and scale 3D synthetic data pipelines to accelerate the development of autonomous medical imaging systems. This role involves simulation, computer vision, robotics, and AI, focusing on generating high-fidelity synthetic data using platforms like NVIDIA Omniverse and Isaac Sim to enable robust AI model training through domain randomization, physics-based simulation, and real-to-synthetic data fusion. | Data | 8 |
| Principal AI Architect GE HealthCare is seeking an AI Architect to design the foundation and strategy for their Gen AI program. This role involves architecting scalable AI models and systems, defining technical roadmaps, and overseeing the deployment and MLOps/LLMOps for generative AI solutions, including RAG patterns and fine-tuning. The architect will also ensure governance, security, and ethical AI practices, mentoring a team and staying updated on advancements. Experience with cloud platforms, AI/ML frameworks, and specific Generative AI tools is required, with a preference for healthcare industry experience and knowledge of regulations. | AgentServe | 8 |
| 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 |
| Sr Staff Software Engineer Senior Staff Cloud Engineer responsible for designing, delivering, and governing secure, enterprise-scale cloud solutions on AWS, driving innovation through AI/ML-enabled infrastructure operations. This role defines cloud architecture strategy, establishes reusable engineering standards, and ensures alignment with enterprise cloud and security frameworks. Combines deep hands-on cloud engineering expertise with strong technical leadership, guiding teams, influencing architectural direction, and partnering with stakeholders to modernize healthcare technology platforms. Leads optimization efforts across performance, security, reliability, and cost, while integrating AI-driven automation, predictive monitoring, and infrastructure intelligence. Requires extensive experience building and operating large-scale cloud platforms, strong knowledge of cloud-native and distributed systems, familiarity with healthcare compliance standards, and the ability to mentor engineers, shape technical strategy, and drive operational excellence in a regulated, mission-critical environment. | ServeAgent | 7 |
| Software Engineer - AI Automation Software Engineer focused on developing and applying AI-assisted test automation and analysis solutions for patient monitoring systems within a regulated medical device quality environment. The role involves designing RAG models, agent workflows, and multi-step reasoning models, integrating LLMs into applications, and applying AI for root cause analysis and test selection to accelerate verification cycles. | AgentData | 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 |
| Software Engineer Software Engineer at GE Healthcare focused on building and training deep learning reconstruction networks (UNet/VarNet/physics-guided, score-based) using PyTorch/TF for CT applications. The role involves performance optimization, including GPU/CUDA acceleration and memory optimization for real-time processing, as well as engineering excellence in writing testable code, CI/CD, and containerization. It also includes integration with medical imaging standards and collaboration with physicists and clinicians for validation and productization. | Post-train | 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 |
| Alternance – Intégration de l’Intelligence Artificielle dans un Robot Médical (H/F) This is an apprenticeship role focused on integrating AI algorithms into a medical robot's software architecture. The role involves designing, implementing, training, evaluating, and integrating ML/DL models for perception, decision support, and control, while adhering to strict medical domain constraints (safety, traceability, real-time, regulatory). The work spans from algorithm development to deployment in a constrained embedded environment. | AgentServe | 7 |
| Stagiaire ingénieur(e) de recherche & développement (H/F) - Modèle génératif agentique : Assistant virtuel d'intégration Develop an agentic virtual assistant to streamline the integration of applications and algorithms into the AVPlay platform for GE Healthcare's Advantage Visualization team. The assistant will leverage LLMs and RAG to provide context-aware guidance, improve user onboarding, analyze integration issues, and validate applications. | Agent | 7 |
| Senior Director - Software Subscription AI Lead the strategy and execution of AI solutions for subscription portfolio optimization, including predictive modeling, intelligent automation, and agentic AI for autonomous operations. This role owns the end-to-end analytics and AI lifecycle, focusing on driving digital transformation and business performance. | AgentData | 7 |
| Software Engineer Software Engineer at GE Healthcare focused on designing, building, and optimizing MRI image reconstruction algorithms and software, including classical and deep learning-based methods. The role involves translating prototypes into clinical-grade products, improving performance, and handling data pipelines for MRI reconstruction. | Post-trainServe | 7 |
| Senior AI Engineer – Intelligent Automation Senior AI Engineer to lead the architecture and development of AI-powered automations combining LLMs, classical ML, RPA/workflow, and enterprise systems. The role involves designing reference architectures, building secure and performant services, and productionizing solutions, bridging solution architecture with hands-on engineering. | Agent | 7 |
| Stagiaire ingénieur(e) - Révolutionner le "Design-to-Code" : Automatisation et Agents AI dans un contexte médical critique (H/F) Stagiaire R&D focusing on integrating next-generation AI assistants into a design-to-code pipeline for medical applications. The role involves exploring agentic AI technologies, automating the translation of UX mockups to functional code, and developing agent memory and skills for tasks like testing and refactoring. | Agent | 7 |