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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Senior ATD Scientist This role focuses on applying advanced techniques from cross-industry and academic fields to enhance existing healthcare products, specifically in image quality improvement, product performance, and workflow enhancement. The scientist will investigate feasibility, design, develop, and evaluate applications to meet local customer needs and improve product competitiveness. While AI knowledge is preferred, the core of the role is in image processing and product development within the healthcare domain. | — | 5 |
| Sr Manager/ Director - Software Engineering Senior Manager/Director of Software Engineering to lead a team focused on backend development for a clinical reporting product. The role involves technical leadership, people management, driving engineering excellence, and adopting modern technologies including cloud and AI-oriented approaches. Emphasis on backend development, scalability, and team growth within a global healthcare environment. | — | 3 |
| Advanced Application Specialist GE HealthCare's Manufacturing Science and Technology team is seeking an Advanced Application Specialist (Radiochemist) to organize and facilitate the technology transfer of GE HealthCare’s licensed radiopharmaceuticals to Contract Manufacturing Organizations (CMOs) and provide technical support for commercial manufacturing operations. The role involves developing and approving documentation, overseeing transfer of automated manufacture and QC release testing, supporting GMP site set-up, and collaborating with R&D and Quality Assurance. | — | 0 |
| Senior Clinical Engineer – RO & GIP This role focuses on the clinical development of imaging products and Software as a Medical Device (SaMD) within GE HealthCare's MIM Software business. The Senior Clinical Engineer will translate clinical needs into functional requirements, support V&V testing, and contribute to regulatory submissions and product lifecycle planning. The role requires a strong understanding of molecular imaging SaMD experience and collaboration with cross-functional teams. | — | 0 |
| Director - Compute and Datacenter Seeking a Director of Compute & Datacenter to lead the design, delivery, and optimization of on-premise compute and datacenter services. The role involves driving operational excellence, cost efficiency, and innovation, ensuring high availability, security, and performance. The ideal candidate will have deep technical expertise, strong leadership, and a forward-thinking approach to integrating AI and emerging technologies. | — | 0 |
| Staff Software Engineer Staff Software Engineer role at GE Healthcare, focusing on building the next-generation visualization platform within the Patient Care Solutions (PCS) enterprise platform team. Responsibilities include owning feature design and implementation, collaborating with product managers and architects, driving technical discussions, and mentoring junior engineers. Requires a Bachelor's/Master's degree in Computer Science or related fields with at least 12 years of experience, strong full-stack development skills (UI techs like Angular, Redux, TypeScript, JavaScript, SCSS; backend like Microservices, Java, Spring, Springboot, WebSockets), and experience in Agile/Scrum. | — | 0 |
| Senior Data Engineer GE Healthcare is seeking a Senior Data Engineer to lead the design and management of scalable data solutions for product and clinical innovation. This role involves driving data architecture, process automation, and cross-functional data workflows, while establishing engineering best practices and mentoring team members. The position requires 5+ years of experience in data management and curation with Python and SQL, and 2+ years in a leadership role. Experience with various file formats (JSON, CSV, Parquet, FHIR, DICOM) and DataFrame libraries (Pandas, Polars, PySpark) is expected. Cloud and medical industry experience are preferred. | — | 0 |
| Software Architect Software Architect role at GE Healthcare focusing on defining and leading application architecture strategy for scalable, high-performance software systems. Responsibilities include designing systems, establishing standards, leading technical decisions, and ensuring integration and quality. The role requires extensive experience in software development and architecture, with a preference for experience in medical image processing and integrating AI/ML models. | — | 0 |
| Staff Software Engineer Staff Software Engineer at GE Healthcare's Ultrasound research lab in Seongnam, Korea. This role focuses on leading the design and development of complex software systems, defining technical approaches, driving architectural decisions, and ensuring scalability, performance, and maintainability. The position involves mentoring engineers, establishing best practices, and handling ambiguous technical problems. While the core role is software engineering, there's a preferred qualification for integrating AI/ML models into applications. | — | 0 |
| Senior Software Engineer Senior Software Engineer at GE Healthcare responsible for developing and evolving software components and features using C++17, collaborating with cross-functional teams, and ensuring high-quality code with comprehensive testing. The role involves working on Linux and Windows systems, designing low-level software components, and troubleshooting applications within the medical technology and digital solutions sector. | — | 0 |
| Senior Software Engineer Senior Software Engineer responsible for delivering embedded Linux OS for medical devices in the anesthesia and respiratory care domain. This involves customizing open-source components, developing device drivers, Yocto layers, recipes, and bootloaders to ensure performance, reliability, maintainability, and security. | — | 0 |
| Software Engineer Software Engineer responsible for developing, debugging, and testing application and system software components to enhance product functionality and support system integration within GE Healthcare's ultrasound research lab. Focuses on software development lifecycle, quality, and collaboration with global teams. | — | 0 |
| Electro-Mechanical Lab Engineer GE Healthcare is seeking an Electro-Mechanical Lab Engineer to build, repair, modify, and maintain X-ray machines and laboratory equipment, perform verification testing, and ensure equipment reliability and compliance with safety and quality standards in a lab environment. | — | 0 |
| Ingénieur(e) logiciel Full stack Full stack software engineer responsible for designing, developing, and testing applications in the medical field for radiologists, cardiologists, and surgeons. Involves managing the full development cycle and ensuring continuous integration through automated testing. | — | 0 |
| 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 |
| Ingénieur(e) logiciel (H/F) Software engineer responsible for designing and developing applications for medical image processing, targeting radiologists, cardiologists, and surgeons. The role involves full software development lifecycle management, C++ development, and ensuring continuous integration through automated testing. | — | 0 |
| Electronic Design Engineer This role focuses on the design, development, modification, and evaluation of electronic components, solutions, and systems for electronic equipment and other hardware systems within GE Healthcare. It involves technical improvement of existing products, analysis of electrical system requirements and costs, troubleshooting of complex design problems, root cause failure analysis, and anticipation of production issues. The role also requires ensuring safe processes that comply with all local and federal regulations and creating specifications. Experience in PCB layout, high-side and low-side driver circuits, filtering circuits, and electronic power supplies is essential. The position is for an Electronic Design Engineer with a Bachelor's degree in Mechanical, Electrical, or Electronic Engineering and 3 years of relevant experience. | — | 0 |
| Product Engineer Product Engineer at GE Healthcare responsible for investigating and resolving product issues stemming from customer complaints and non-conformances, with a focus on improving product quality and ensuring regulatory compliance in surgical imaging technologies. | — | 0 |
| 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 |
| Lead Program Integrator (LPI) Senior cross-functional execution leader responsible for integrating complex product development programs across functions, partners, and business stakeholders. Drives execution discipline, transparency, decision readiness, and accountability to enable successful delivery of program milestones and business objectives. | — | 0 |
| Supplier Quality & Development Engineer- Mechanical Supplier Quality & Development Engineer with 8+ years of experience in supplier quality assurance and development, focusing on mechanical components within the healthcare industry. Responsibilities include supplier qualification, quality plan implementation, audits, performance monitoring, and driving improvements through root cause analysis and corrective actions. | — | 0 |