AI Engineer Jobs in Seattle, WA
AI Engineer jobs in Seattle, Washington are concentrated in South Lake Union, the Eastside corridor toward Bellevue, and the Capitol Hill tech hub, with strong demand across cloud infrastructure, healthcare AI, and enterprise software. Top employers hiring right now include Amazon, Amazon Web Services, and Arm. Scan the live roles below and apply to whichever ones fit.
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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
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Who's Hiring
- Amazon30

- Amazon Web Services18

- Arm12

- GEICO8

- Expedia8

Top Industries Hiring
- Technology & Software17
- Electronics & Hardware11
- Retail6
- Distribution & Wholesale6
- Insurance3
AI Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a ai engineer job in Seattle?
Focus your search on South Lake Union and the Eastside, where cloud platforms, healthcare technology, and enterprise software companies concentrate the most ai engineer hiring. Candidates with hands-on experience in large language models, MLOps pipelines, or retrieval-augmented generation stand out in this market. Contributing to open-source projects and building a public portfolio on GitHub gives Seattle hiring managers something concrete to evaluate before a first call.
Which companies hire ai engineers in Seattle?
Seattle ai engineer roles are posted by Amazon, Amazon Web Services, and Arm and others right now, based on current listings on Migrate Mate as of September 2026. Seattle's mix of global tech headquarters, mid-size SaaS companies, and well-funded healthtech startups means openings range from large platform teams to small applied-AI product squads.
Are there remote ai engineer jobs in Seattle?
Yes, ai engineering is one of the more remote-friendly technical disciplines because the core work centers on code, model training, and data pipelines rather than physical equipment. About 76% of ai engineer openings tied to Seattle are remote or hybrid as of September 2026, reflecting how broadly Seattle-based tech employers have embraced flexible arrangements. Model evaluation, prompt engineering, and MLOps roles tend to be the most fully remote within the discipline.
How can I get a ai engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through a junior machine learning or data engineering role at one of the city's mid-size SaaS or healthtech companies, which hire earlier than large platform teams and offer faster ramp time. Bootcamp graduates and recent computer science alumni often start on data annotation, model evaluation, or ML platform support teams before moving into core AI engineering. Building a project demonstrating a fine-tuned open-source model and presenting it at a Seattle AI or MLOps meetup gives entry-level candidates a concrete conversation starter with local hiring managers.
Which industries hire the most ai engineers in Seattle?
Most ai engineer openings in Seattle sit in Technology & Software, Electronics & Hardware, and Retail, per current listings on Migrate Mate as of September 2026. Seattle's position as a cloud computing hub, combined with a dense cluster of healthcare and life sciences organizations, creates sustained demand for applied AI talent well beyond the traditional software sector.
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