AI Engineer

Senior Staff AI Engineer

The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative environment. Are you passionate about applying Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical applications. In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring reliability, performance, and responsible AI deployment.

At GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by delivering advanced analytics, visualization, multimodal learning, intelligent software, and scalable computing solutions across cloud and edge environments. Our Science & Technology organization develops AI capabilities that improve clinical workflows, enhance provider productivity, and help make healthcare more personalized, precise, and accessible.

Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), foundation models, and modern machine learning techniques to automate clinical workflows.

Build scalable AI applications leveraging electronic medical records (EMRs), medical waveforms, clinical reports, and other healthcare datasets.

Develop robust inference pipelines, model serving infrastructure, and AI services optimized for reliability, scalability, latency, and cost.

Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and inference optimization techniques.

Implement responsible AI practices, including model evaluation, robustness testing, monitoring, and human-in-the-loop feedback mechanisms.

Collaborate with research scientists and cross-functional engineering teams to transition advanced AI models into production environments.

Build reusable software components, APIs, and development frameworks that enable scalable AI application development.

Stay current with emerging AI technologies, open-source frameworks, and industry best practices to continuously improve GE HealthCare's AI platform.

Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science, Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or PhD in a STEM discipline with relevant experience developing production AI systems.

Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions.

Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation.

Strong programming skills in Python and C++.

Experience developing scalable, maintainable, production-quality software.

Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning.

Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.

Join a global AI engineering organization building production AI systems that improve patient care at scale. You'll work with world-class engineers and scientists across the United States, France, Israel, and India to bring cutting-edge Generative AI capabilities into healthcare products that make a meaningful difference for clinicians and patients worldwide.

Our AI teams are located across Bellevue, San Ramon, France, Israel (Tel Aviv), and India (Bangalore), providing opportunities to collaborate across a diverse, global engineering organization.

We value flexibility and recognize that maintaining a healthy work-life balance enables our teams to perform at their best. Our flexible work environment supports both professional success and personal well-being.

You'll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization.