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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DESCRIPTION
The Velocity Labs team mission is to think beyond the confines of the normal product-orientated approach and to discover new ways to apply and embrace agentic AI. We have noticed how the open-source community, and some of our competitors, experiment with new ideas, and deliver initial products fast. With Velocity Labs we are building an organization that can move faster, explore more, and make sure AWS is at the cutting edge of innovation in agentic AI.
We are looking for people who are hands-on builders, have strong curiosity, strong bias for action, and maintain high standards. If you can work collaboratively, learn quickly, and deliver results, you are likely a fit for this team.
As a Software Development Engineer in our team, you will be responsible for designing and building AI primitives and user facing services in a fast paced environment. You will ship features from concept to design to implementation and through to roll-out and support.
In this role, you will follow best practices of software development to ensure project schedules are met and software quality is high. You will create and review system designs and work with the team to build the service. You will actively participate in the team's planning and brainstorming to help us shape the future direction of our products. Our team is an AI first team and we leverage AI enabled tooling throughout the product lifecycle to enable us to deliver high quality product fast.
Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create innovative technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you.
Join us to build innovative solutions that help customers visualize and understand their AWS applications, making troubleshooting and problem diagnosis easier and more efficient.
BASIC QUALIFICATIONS
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- 1+ years of software development engineer or related occupational experience
- 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience
- 1+ years of Object Oriented Design experience
- Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field
- Experience programming with at least one software programming language
PREFERRED QUALIFICATIONS
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent
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 184+ AI Engineer Jobs in Washington
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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
- Amazon30

- Amazon Web Services15

- Microsoft11

- Arm8

- Google8

Top Industries Hiring
- Technology & Software12
- Electronics & Hardware7
- Retail4
- Distribution & Wholesale4
- Insurance2
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 September 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 77% of ai engineer openings tied to Washington are remote or hybrid as of September 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 184+ AI Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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