AI Engineer Jobs in Washington
AI Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, machine learning platforms, and enterprise software across a workforce that ranges from entry-level ML engineers to principal AI architects. Seattle leads hiring by a wide margin, with Bellevue and Redmond also generating steady demand tied to the region's technology corridor. Microsoft, Amazon, and Salesforce are among the most consistent employers of ai engineers in Washington, with ongoing work in large language models, recommendation systems, and AI-driven developer tooling. Find a role that fits below and apply directly.
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Showing 5 of 179+ AI Engineer jobs
DESCRIPTION
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
We're on the lookout for the curious — those who think big and want to define the world of tomorrow. At Amazon you will grow into the high impact person you know you're ready to be. Every day will be filled with exciting new challenges developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon you'll say it often. Join us and define tomorrow. Do you want to solve business challenges through innovative technology? Do you enjoy working on new scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world's most beloved brands - customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use novel technology to solve complex problems and get to see the impact of their work first-hand.
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. • Build distributed storage index and query systems that are scalable, fault-tolerant, low-cost, and easy to manage/use. • Design and code the right solutions starting with broadly defined problems. • Work in an agile environment to deliver high-quality software.
A day in the life
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks not years.
About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Knowledge of computer architecture, operating systems, and parallel computing
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
- Knowledge of system performance, memory management, and parallel computing principles
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
DESCRIPTION
AWS Applied AI Solutions (AAIS) is building toward a future where every business innovates with Amazon AI teammates. To get there, we build AI solutions that improve human capabilities and transform entire business functions. We create end-to-end products that surprise and delight out-of-the-box, making complex things easy and hard things possible, with no cloud experience required. We start with customers who embrace the future and build bridges to meet the rest where they are. We pursue ambitious opportunities with conviction, and we are looking for builders who share that mindset.
We're on the lookout for the curious — those who think big and want to define the world of tomorrow. At Amazon you will grow into the high impact person you know you're ready to be. Every day will be filled with exciting new challenges developing new skills and achieving personal growth. How often can you say that your work changes the world? At Amazon you'll say it often. Join us and define tomorrow. Do you want to solve business challenges through innovative technology? Do you enjoy working on new scalable services technology in a team environment? Do you like working on industry-defining projects that move the needle? At Amazon we hire the best minds in technology to innovate and build on behalf of our customers. The focus we have on our customers is why we are one of the world's most beloved brands - customer obsession is part of our company DNA. Our Software Development Engineers (SDEs) use novel technology to solve complex problems and get to see the impact of their work first-hand.
Key job responsibilities
• Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market. • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry. • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed. • Build distributed storage index and query systems that are scalable, fault-tolerant, low-cost, and easy to manage/use. • Design and code the right solutions starting with broadly defined problems. • Work in an agile environment to deliver high-quality software.
A day in the life
The challenges SDEs solve for at Amazon are big and influence millions of customers, sellers, and products around the world. We are looking for individuals who are passionate about creating new products, features, and services from scratch while managing ambiguity and the pace of a company where development cycles are measured in weeks not years.
About the team
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- Experience programming with at least one software programming language
- Knowledge of computer architecture, operating systems, and parallel computing
- Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
PREFERRED QUALIFICATIONS
- Bachelor's degree in computer science or equivalent
- Knowledge of ML frameworks including JAX, PyTorch, vLLM, SGLang, Dynamo, TorchXLA, and TensorRT
- Knowledge of system performance, memory management, and parallel computing principles
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Seattle - 143,700.00 - 194,400.00 USD annually
See All 179+ AI Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Engineer JobsAI Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon29
- Amazon Web Services22
- Microsoft13
- Meta10
- Google8
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
- Retail
- Insurance
- Science & Research
What Washington Employers Look For
The qualifications that appear most often in AI engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related quantitative field
- Proficiency in Python and experience with frameworks such as TensorFlow, PyTorch, or JAX
- Demonstrated experience designing, training, and deploying machine learning models at production scale
- Familiarity with cloud platforms, particularly Microsoft Azure or AWS, for ML pipeline deployment
- Experience with large language models, retrieval-augmented generation, or generative AI application development
- Strong understanding of MLOps practices including model versioning, monitoring, and CI/CD integration
AI Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ai engineer in Washington?
AI engineering in Washington has no state-issued license or registration requirement, so the path runs through education and demonstrated technical skill. Most roles require at minimum a bachelor's degree in computer science, mathematics, or a closely related field, with many Seattle-area employers strongly preferring a master's degree for research-adjacent positions. Building a portfolio of deployed models, contributing to open-source ML projects, and earning cloud certifications recognized by major Washington employers helps candidates without lengthy professional histories stand out.
Which companies hire ai engineers in Washington?
Employers hiring ai engineers in Washington right now include Amazon, Amazon Web Services, and Microsoft, based on current listings on Migrate Mate as of November 2026. Washington's concentration of global technology headquarters means ai engineers here often work directly on core product teams rather than in support or consulting roles.
Which Washington cities have the most ai engineer jobs?
Seattle, Bellevue, and Redmond are the Washington cities with the most ai engineer openings. Seattle dominates because it anchors the headquarters and major engineering campuses of the state's largest technology employers, while Bellevue and Redmond draw significant volume from Microsoft's sprawling campus and the dense cluster of mid-size software companies that have located close to it.
Are there remote ai engineer jobs in Washington?
Yes, and more than most fields. About 78% of ai engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how well the work translates to distributed teams. Roles focused on model development, research, and data pipeline engineering tend to have the most remote flexibility, while positions involving proprietary hardware, on-site GPU clusters, or close collaboration with product teams more often require in-person work around the Seattle metro.
How can I get hired as a ai engineer in Washington with little or no experience?
The most realistic entry path is through a university new-grad program at one of Washington's large technology employers, where Microsoft, Amazon, and Salesforce regularly hire recent graduates into associate or junior ML engineer roles. Candidates who have completed a relevant master's thesis, shipped a personal or academic ML project, or contributed to open-source tooling used in the industry start with a clear advantage. Adjacent roles such as data analyst, data scientist, or software engineer with ML exposure are also common stepping stones into dedicated ai engineering positions at Washington employers.
Where can I find and apply to ai engineer jobs in Washington?
You can find and apply to ai engineer jobs in Washington on Migrate Mate, which lists current openings from employers hiring in the state right now. Search the available roles, find the ones that match your background and preferences, and apply directly to the ones that fit.
See All 179+ AI Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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