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 |
|---|---|---|
| Senior Staff AI Scientist Senior Staff AI Scientist at GE Healthcare in Bengaluru, India, focusing on research and leadership in medical imaging and Physical AI. The role involves defining research vision, architecting state-of-the-art systems, and translating AI research into regulated, commercially deployed healthcare solutions. Requires deep expertise in learning from real-world data, physical signals, foundation models, and multimodal healthcare systems, with a strong publication and patent record. The candidate will mentor scientists, influence product roadmaps, and ensure AI systems are safe, robust, and compliant in regulated healthcare environments. | ShipPost-train | 9 |
| Senior Staff Data Scientist Senior Staff Data Scientist at GE Healthcare focusing on advanced medical imaging and multimodal AI research for clinical deployment. The role involves defining research vision, leading development of state-of-the-art solutions using transformers and foundation models, ensuring robustness and evaluation, and translating research into clinically meaningful AI solutions. Requires PhD with 5-8+ years of post-PhD experience, strong publication record, and expertise in medical image analysis, PyTorch, multimodal learning, and MLOps in regulated environments. |
| ShipPost-train |
| 9 |
| AI Research Intern PhD student intern focused on developing next-generation AI technologies for healthcare, including medical imaging foundation models and LLMs for clinical efficiencies. The role involves designing novel ML algorithms, building prototypes, and preparing research publications for leading AI venues. | Post-trainPretrain | 9 |
| Senior Staff AI Scientist Seeking a Sr Staff AI Scientist with a strong research background in ML, DL, GANs, NLP, Generative AI, LLMs, and Agentic AI to lead advanced research, design intelligent systems, and translate AI capabilities into business impact within GE Healthcare. Requires PhD/Masters, expertise in AWS Bedrock/SageMaker, and Responsible AI practices. | AgentPost-train | 9 |
| AI Scientist AI Scientist at GE Healthcare focused on foundational AI models, generative AI, large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, and quantization for healthcare applications. The role involves developing and implementing novel ML algorithms for LLMs to automate clinical tasks using EMR, waveforms, and clinical reports, demonstrating algorithms, exploring human feedback, building prototypes, and working with large-scale datasets. Requires a Master's or PhD with relevant research experience, publications in LLM/Agentic AI/SSL, and expertise in building large-scale generative AI models. | PretrainPost-train | 9 |
| Staff AI Scientist Staff AI Scientist at GE Healthcare in Bengaluru, India, focusing on advanced AI research in ML, DL, NLP, Generative AI, LLMs, and Agentic AI. The role involves designing and prototyping novel AI algorithms, applying cutting-edge approaches like RAG and autonomous agents, leading experimentation, and translating research into scalable enterprise solutions. Responsibilities include building, fine-tuning, and optimizing models, developing LLM-powered applications, creating Generative AI applications, and developing Agentic AI systems. Experience with AWS Bedrock and SageMaker, along with Responsible AI practices, is required. The role also involves working with data, building AI pipelines, and ensuring responsible AI principles are applied. | AgentPost-train | 9 |
| Staff AI Scientist Staff AI Scientist at GE Healthcare in Bengaluru, India, focusing on advanced AI research in ML, DL, NLP, Generative AI, LLMs, and Agentic AI. The role involves designing and prototyping novel AI algorithms, applying cutting-edge approaches like RAG and autonomous agents, leading experimentation, and translating research into scalable enterprise solutions. Responsibilities include building, fine-tuning, and optimizing models, developing LLM-powered applications, creating Generative AI applications, and developing Agentic AI systems. Experience with AWS Bedrock and SageMaker, along with Responsible AI practices, is required. The role also involves working with data, building AI pipelines, and ensuring responsible AI principles are applied. | AgentPost-train | 9 |
| AI Scientist GE Healthcare is seeking a Senior Staff AI Scientist to work on foundational AI models, focusing on generative AI problems like large-scale pretraining, prompt tuning, distillation, robustness, responsible AI, and quantization. The role involves developing and implementing novel machine learning algorithms for LLMs to automate clinical tasks using EMR, waveforms, and clinical reports, demonstrating algorithms, exploring human feedback, building prototypes, and working with large-scale datasets. Requires a Master's or Ph.D. in a STEM field with relevant research experience, publications as first author on LLM, Agentic AI, or SSL, and demonstrated expertise in building large-scale AI models. | PretrainPost-train | 9 |
| Staff AI Scienitist Staff AI Scientist role at GE Healthcare focusing on advanced AI research in ML, DL, NLP, Generative AI, LLMs, and Agentic AI. Requires a PhD/Masters, expertise in AWS Bedrock/SageMaker, and Responsible AI practices. The role involves designing, prototyping, and validating novel AI algorithms, leading experimentation, and developing LLM-powered and Generative AI applications, including Agentic AI systems. Emphasis on translating research into scalable enterprise solutions and ensuring Responsible AI principles. | AgentPost-train | 9 |
| Staff AI Scientist Staff AI Scientist role at GE Healthcare focusing on advanced AI research in ML, DL, NLP, Generative AI, LLMs, and Agentic AI. The role involves designing production-grade intelligent systems, translating AI capabilities into business impact, and working with AWS Bedrock/SageMaker and Responsible AI practices. Requires a PhD/Masters and strong research/development experience. | AgentPost-train | 9 |
| 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 |
| Stage recherche appliquée en santé de la femme Research intern in Applied Research in Women's Health, focusing on mammography. Responsibilities include literature review, implementing identified methods, and validating results using signal processing and machine learning on mammography data. | Post-train | 7 |