AI Engineer

HC1316 GE Precision Healthcare LLC; Bellevue (WA); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Relocation assistance provided

Job summary

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. 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.

Join a global AI engineering organization with Bellevue locations and cross-functional

Qualifications

• Master's degree in STEM, CS, AI, or related field with 3+ years of production AI experience.
• PhD in STEM with relevant production AI experience.

Responsibilities

• Design, develop, and deploy production-ready AI solutions using LLMs and foundation models.
• Build scalable AI applications leveraging EMRs and clinical datasets.
• Develop inference pipelines, model serving infra, and AI services for reliability and cost efficiency.
• Optimize foundation models via prompt engineering, fine-tuning, distillation, and quantization.
• Implement responsible AI practices including evaluation, monitoring, and human-in-the-loop feedback.

Skills

Python

C++

Machine Learning

LLMs

APIs

Distributed systems

Education

Master's degree in STEM/CS

PhD in STEM

Tools

PyTorch

Hugging Face

DeepSpeed

Megatron

PyTorch Lightning

Job description

Senior Staff AI Engineer

Job Description Summary The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative 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.

About the Role

Job Description About the Role 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.

What You Will Do

• 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.

Required Qualifications

Education 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. AI & Machine Learning Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions. Experience developing applications using Large Language Models (LLMs), Agentic AI, or self-supervised learning techniques. Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation. Software Engineering Strong programming skills in Python and C++. Experience developing scalable, maintainable, production-quality software. Experience designing APIs, distributed services, or cloud-native AI applications. AI Infrastructure Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning. Experience deploying AI workloads using MLOps, ModelOps, or Foundation Model Operations (FMOps) practices. Experience working with large-scale model training or inference infrastructure. Healthcare Data Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.

Preferred Qualifications

Experience solving complex engineering problems with ambiguous requirements. Experience deploying large-scale distributed AI systems. Experience with Spark, Hadoop, TensorFlow, or PyTorch in enterprise environments. Experience building production data platforms and AI-powered software applications. Track record of delivering machine learning solutions using large real-world healthcare datasets. Experience optimizing large-scale AI training and inference performance.

Why Join GE HealthCare

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.

Work Environment Global Collaboration

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.

Work-Life Balance

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.

Career Growth

You’ll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization. We will not sponsor individuals for employment visas, now or in the future, for this job opening.

For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI).

GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.

GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation.

Equal Opportunity Employer Statement

GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE HealthCare will only employ those who are legally authorized to work in the United States for this opening.

Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.

Relocation Assistance Provided

Relocation Assistance Provided: Yes

Closing Statement

At GE HealthCare, we see possibilities through innovation. We’re partnering with our customers to fulfill healthcare’s greatest potential through groundbreaking medical technology, intelligent devices, and care solutions. Better tools enabling better patient care. Together, we are not only building a healthier future but living our purpose to create a world where healthcare has no limits.