GE Healthcare
Healthcare · Medical devices
- HQ
- Chicago, US
- Founded
- 2004
- Website
- gehealthcare.com
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 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 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 |
| Senior AI Application Engineer, Enterprise AI Senior AI Application Engineer role focused on developing and deploying GenAI and Agentic AI solutions within an enterprise healthcare setting. Responsibilities include full SDLC ownership, frontend/backend development, integrating ML/LLM models, and collaborating with MLOps/GenAIOps teams. Requires strong Python/TypeScript, experience with ML/GenAI frameworks, cloud platforms, RAG pipelines, and LLMOps. |
| AgentServe |
| 8 |
| 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 |
| 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 |
| Senior AI Engineer – Intelligent Automation Senior AI Engineer to lead architecture and development of AI-powered automations combining LLMs, classical ML, RPA/workflow, and enterprise systems. This role involves designing reference architectures, building secure and performant services, and productionizing solutions, bridging solution architecture with hands-on engineering. | Agent | 7 |
| 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 |
| AI/ML Engineer AI/ML Engineer at GE Healthcare in Korea, supporting the development and implementation of data science and machine learning solutions to enhance product capabilities. Focuses on applying data science techniques under guidance, contributing to model development, data processing, and validation. Collaborates with senior data scientists, software engineers, and cross-functional teams to integrate data-driven capabilities into products. Entry-level friendly. | Post-train | 5 |
| Principal - Product Security Leader This role focuses on enhancing cybersecurity for GE Healthcare's products and cloud-based digital solutions. It involves overseeing the delivery and implementation of cybersecurity processes and controls, coordinating across departments, managing cyber risk, and ensuring alignment with the cybersecurity organization's goals. The role also involves collaborating with stakeholders, product teams, and external partners to align strategies and operations. A key aspect is influencing secure product development, architecting cloud security solutions, leading threat modeling, and ensuring compliance with various security standards and regulations like HIPAA and FDA requirements. The role also mentions leveraging AI tools to mitigate threats in LLM and AI agent-based solutions. | — | 5 |
| AIMS Analyst (ISO42001) This role focuses on implementing and managing an AI Management System (AIMS) to achieve ISO42001 certification for GEHC products. It involves identifying and managing risks associated with AI systems, providing recommendations for control gaps, and coordinating across various functions like security, sourcing, legal, and compliance. The role also includes operating a process for AI solution integration and maintaining AI impact assessments. | — | 5 |
| Avdelingsleder Digital data- og analyseløsninger Lead and develop a multidisciplinary environment of highly qualified data engineers at bachelor and master level. The department works within data engineering, advanced data analysis, artificial intelligence (AI) and digital work processes. The department also helps other departments at the facility to adapt their work processes in a more cost-effective way. | — | 5 |
| Staff Observability Engineer Staff Observability Engineer responsible for defining and implementing the observability strategy for GE Healthcare's Cloud Applications. This role involves designing and integrating observability frameworks, instrumenting services, building dashboards and alerts, and ensuring alignment with healthcare compliance standards. Experience with AI-powered anomaly detection and SRE practices is required. | — | 5 |
| Senior Solutions Architect (multiple positions) This role focuses on the infrastructure architecture and data engineering aspects of developing and deploying AI solutions within a healthcare setting. The Senior Solutions Architect will guide software projects, contribute to a machine learning development environment, and develop technical plans for AI solutions, working with engineers, researchers, and clinical customers. | Data | 5 |
| Senior Data Scientist The Senior Data Scientist will work in teams on commercial technology development projects, focusing on statistical, machine learning, and data understanding problems. Responsibilities include developing analytics, translating algorithms into products, performing data analysis, and collaborating with data engineers on data quality and cleansing. | Data | 5 |
| Internship - AI Infrastructure Internship role focused on supporting the development and maintenance of AI infrastructure, including data pipelines, model deployment, and monitoring systems, for medical imaging and diagnostic solutions. | Serve | 5 |
| Data Analyst - Product This role supports the MR Engineering Operations team by delivering product cost calculation, cost analysis, analytical insights, reporting, and dashboards. The Data Analyst will partner with engineering, operations, manufacturing, sourcing, and commercial teams to convert product data into actionable insights, with a focus on optimizing product cost performance and data accuracy. The role requires strong analytical, AI (basic application), and data visualization skills, with an interest in structuring engineering, cost accounting, manufacturing, logistics, and supply chain execution. | — | 5 |
| 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 |
| Supply Chain Data Scientist – RadioPharma US & Canada This role focuses on developing advanced analytics and decision-support tools for GE Healthcare's RadioPharma supply chain, aiming to improve reliability, network efficiency, and patient access. The Data Scientist will analyze operational, manufacturing, and logistics data, build models for risk identification and forecast accuracy, and collaborate with various teams to translate operational questions into data-driven insights. While machine learning is mentioned, the primary focus is on operational analytics and optimization within a healthcare supply chain context. | — | 5 |
| Software Engineer Software Engineer role focused on testing and quality assurance within GE Healthcare, with a specific mention of using AI for test automation and productivity improvement. The role involves breaking down problems, applying testing methodologies, owning tasks, and collaborating with development and quality teams. Experience with AEM CMS testing and automating test cases is required. | — | 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 |
| Full Stack AI Engineer - eCommerce Full Stack AI Engineer role at GE Healthcare in Bengaluru, India, focusing on building and maintaining high-performance web and mobile applications using React and Node.js. The role involves integrating AI models and implementing AI-based solutions into healthcare and e-commerce products, with a strong emphasis on software lifecycle, performance, and collaboration within an Agile environment. Experience with cloud platforms (Azure preferred) and CI/CD is also mentioned. | — | 5 |
| AI SDLC Software Engineer - Conga This role focuses on developing and implementing solutions using Salesforce and Apttus CPQ/CLM, with a significant emphasis on integrating AI/ML models, Agentforce, GenAI tools, and Microsoft Copilot to enhance commercial sales processes and user experience. The core of the role involves building intelligent features within the Salesforce ecosystem. | Agent | 5 |
| Alternance – Ingénieur.e données, analyse BI et automatisation avec l’IA H/F This role focuses on data engineering, BI, and process automation using AI tools within GE Healthcare's Advanced Visualization division. The responsibilities include data cleaning, transformation, integration, structuring databases, identifying and automating repetitive tasks using prompts, scripts, or workflows, and maintaining BI dashboards. The role also involves documentation and user training. | Data | 5 |
| Software Engineer (m/f/d) Software Engineer role focused on developing modern healthcare software solutions using AI-enabled, cloud-based systems in a regulated medical domain. The role involves implementing and maintaining software components, collaborating with experienced engineers, and applying best-practice development methods. Emphasizes responsible use of generative AI tools for software development activities like coding and testing. | — | 5 |
| Staff Cloud and AI Integration Engineer Staff Software Engineer to integrate AI capabilities into applications, focusing on building MCP servers, context providers, and orchestration layers, not on building or hosting AI models. Requires strong cloud-native development, microservices, and DevOps expertise, with working knowledge of Generative AI concepts like LLMs, RAG, and Agentic AI. | Agent | 5 |
| Senior Staff Software Engineer Senior Staff Software Engineer role focused on designing, building, and evolving large-scale, cloud-native platform services for medical imaging and healthcare data. The role involves technical leadership in distributed systems, security-sensitive platforms, and cloud architecture, with a specific emphasis on applying AI-assisted capabilities across the software development lifecycle to improve engineering productivity and system quality. | Serve | 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 |
| Senior Cloud and AI Integration engineer Seeking a Senior Cloud and AI Integration Engineer with expertise in cloud-native development, microservices, and DevOps to integrate AI capabilities into applications. This role focuses on building orchestration layers, context providers, and MCP servers for AI integration, not on model building or hosting. Experience with LLMs, RAG, and Agentic AI is required, with a strong plus for healthcare systems experience. | Agent | 5 |
| Internship - AI Data Management Internship role supporting AI data management activities, including data collection, cleaning, labeling, and quality assurance for AI model training and validation. The role involves implementing and maintaining data management systems, collaborating with AI engineers, and documenting processes. | Data | 5 |
| Senior Software Engineer Senior Software Engineer at GE Healthcare to support internal and external clients using the Imaging Fabric DICOM enabled toolkit for advanced visualization and post-processing medical imaging applications. The role involves combining software development expertise, medical imaging standards knowledge, and customer-facing problem solving to help developers integrate, optimize, and troubleshoot complex imaging workflows. Collaboration with engineering, product, and clinical workflow experts is key to ensuring the toolkit powers high-performance medical imaging solutions, including 3D/4D reconstruction, MPR/VR rendering, segmentation, quantitative analysis, and AI assisted imaging pipelines. The role also involves contributing to bug fixes, developing sample code, providing expert-level assistance to developers, diagnosing issues related to DICOM parsing and medical data, and supporting advanced visualization workflows. Collaboration with Product Management includes relaying customer needs and collaborating on Prove of Concept with AI-STO team members to support radiology agentic workflows. | — | 5 |
| End User Support Engineer This role supports an AI-powered visualization platform for medical imaging. The End User Support Engineer will analyze and troubleshoot production environments, apply existing fixes, report new issues, and maintain AI documentation. A key responsibility is developing and refining AI prompts and maintaining GenAI solutions. The role requires a STEM degree, experience in a multinational environment, software engineering background, understanding of GenAI fundamentals and prompt engineering, Linux proficiency, and familiarity with DevOps. Nice-to-haves include experience with advanced AI/ML tools, agentic workflows, and medical imaging. | — | 5 |
| Lead Image Quality Engineer Lead Image Quality Engineer at GE Healthcare responsible for image chain hardware and image processing algorithm design for mobile C-arm X-ray products. This role involves designing, adjusting, and optimizing algorithms to meet clinical requirements, managing X-ray exposure for dose-quality balance, and collaborating with customers and marketing on new features. The engineer will test and evaluate imaging components, support manufacturing and service, and research new X-ray imaging technologies. Requires a Master's degree in a related field, 3+ years of experience in medical imaging, strong skills in image/signal processing and mathematical modeling, proficiency in MATLAB/Python/C/C++, and familiarity with AI development processes. | Post-train | 5 |