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Senior Generative Ai Engineer Jobs in Seattle, WA

AI Engineer

Bellevue, WA ยท On-site

$200 - $250/hr

... 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 ...

Sr. AI Engineer

Everett, WA ยท On-site

$115K - $158K/yr

... generative AI solutions in enterprise environments. * Strong experience designing, building, and ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Sr. AI Engineer

Everett, WA ยท On-site

$115K - $158K/yr

... generative AI solutions in enterprise environments. * Strong experience designing, building, and ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Sr. AI Engineer

Everett, WA ยท On-site

$115K - $158K/yr

... generative AI solutions in enterprise environments. * Strong experience designing, building, and ... The Sr. AI Engineer will play a critical role in turning AI from isolated experiments into ...

Senior Engineer - Applied AI

Seattle, WA ยท On-site

$118K - $163K/yr

... power of Generative AI. Our team thrives and succeeds in delivering high-quality products and ... Position Responsibilities As a Senior Engineer - Applied AI, you will: * Identify AI opportunities:

Senior AI Engineer

Bellevue, WA ยท On-site

$75K - $85K/yr

Position Summary We are seeking a highly experienced Senior AI Solutions Engineer to design, develop, and deploy production-grade AI and Generative AI solutions. The ideal candidate will have strong ...

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Staying updated on the latest advancements in AI and Generative AI, and advising teams on ...

Senior AI Engineer

Seattle, WA ยท On-site

$140K - $180K/yr

As a Senior AI Engineer, you will understand how AI is positioned to meet business objectives and ... Staying updated on the latest advancements in AI and Generative AI, and advising teams on ...

Sr. Software Engineer - Applied AI

Seattle, WA ยท On-site

$139K - $183K/yr

Our Sr. Software Engineer is a lead member of the engineering team working across the organization ... power of Generative AI. Our team thrives and succeeds in delivering high-quality products and ...

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Showing results 1-20

Senior Generative Ai Engineer information

See Seattle, WA salary details

$67.7K

$144K

$208.8K

How much do senior generative ai engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for senior generative ai engineer in Seattle, WA is $144,025.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,900.00 and $163,300.00 per year, depending on experience, location, and employer.

What does a senior generative AI engineer do?

A Senior Generative AI Engineer designs, develops, and implements advanced artificial intelligence models, particularly those focused on generating content such as text, images, or audio. They work with large datasets, build and fine-tune generative models like GPT or diffusion models, and oversee the deployment of these systems into production environments. Additionally, they collaborate with cross-functional teams to integrate AI capabilities into products, optimize model performance, and ensure ethical AI practices are followed.

What are the key skills and qualifications needed to thrive as a senior generative AI engineer, and why are they important?

To thrive as a Senior Generative AI Engineer, you need deep expertise in machine learning, deep learning, and natural language processing, typically backed by an advanced degree in computer science or related fields. Proficiency in frameworks like TensorFlow or PyTorch, experience with cloud platforms (e.g., AWS, Azure), and familiarity with large language models are essential, along with relevant certifications. Strong problem-solving skills, creativity, and effective communication set standout engineers apart in this role. These skills and qualities are crucial for designing innovative AI solutions, collaborating across teams, and advancing the capabilities of generative models in real-world applications.

What are some of the unique challenges senior generative AI engineers face when deploying models in production environments?

Senior Generative AI Engineers often encounter challenges such as ensuring model reliability, addressing biases in generated outputs, and managing the significant computational resources required for deployment. There's also a strong need to collaborate with cross-functional teams, including data engineers, product managers, and domain experts, to ensure the solutions align with business goals and maintain user trust. Balancing innovation with ethical considerations and scalability is crucial in this fast-evolving field.

What is the difference between Senior Generative Ai Engineer vs Machine Learning Engineer?

AspectSenior Generative Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's/Master's in CS, AI, or related; experience with generative modelsBachelor's/Master's in CS, Data Science, or related; strong ML fundamentals
Work EnvironmentResearch and development focused, often in AI startups or tech companiesData analysis, model development, often across various industries
Employer & Industry UsageTech firms, AI startups, research institutionsTech, finance, healthcare, and other sectors utilizing ML solutions

The main difference is that Senior Generative Ai Engineers specialize in developing and optimizing generative models like GPT or GANs, focusing on AI creativity and content generation. Machine Learning Engineers have a broader scope, working on various ML algorithms and applications across multiple industries. Both roles require strong technical skills, but the Senior Generative Ai Engineer's expertise is more specialized in generative AI technologies.

What are the most commonly searched types of Generative Ai Engineer jobs in Seattle, WA?

The most popular types of Generative Ai Engineer jobs in Seattle, WA are:

What are popular job titles related to Senior Generative Ai Engineer jobs in Seattle, WA?

For Senior Generative Ai Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Senior Generative Ai Engineer jobs in Seattle, WA look for?

The top searched job categories for Senior Generative Ai Engineer jobs in Seattle, WA are:

Infographic showing various Senior Generative Ai Engineer job openings in Seattle, WA as of August 2026, with employment types broken down into 85% Full Time, and 15% Contract. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $144,025 per year, or $69.2 per hour.

$200 - $250/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago


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

Youโ€™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. Weโ€™re partnering with our customers to fulfill healthcareโ€™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.

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