AI Product Engineer Jobs in Washington
AI Product Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, enterprise software, and consumer technology across Seattle, Bellevue, and Redmond, with demand stretching from junior roles through staff and principal levels. Amazon, Microsoft, and Google all maintain large engineering headquarters in the greater Seattle metro and hire ai product engineers across machine learning platforms, developer tooling, and applied AI systems. Specialties drawing the most consistent interest include large language model integration, MLOps pipelines, and AI-powered product feature development. Find a role that fits below and apply directly.
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DESCRIPTION
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
As the product owner for AI enablement in this space, you will start by auditing how beta teams work today, mapping workflows, pain points, and repetitive manual tasks to identify the highest-impact opportunities for AI automation or augmentation. You will turn those opportunities into a clear, prioritized roadmap and partner with beta program leads, engineering, and AI teams to build, integrate, and deploy solutions. You will stay current on emerging generative AI models, agentic frameworks, and beta-specific AI tooling, and you will test, evaluate, and benchmark candidate tools against real team use cases to make informed build-versus-adopt recommendations. You will collaborate with the broader Amazon AI and beta communities to surface best practices, reuse existing solutions, and find opportunities to partner. To drive impact, you will lead and document trainings that drive adoption among beta program leads and the wider Experience Validation team.
Key job responsibilities
Success in this role is measured by real, sustained impact on how your beta programs operate. You will establish clear KPIs for adoption and value—active user rates, time saved per task, output quality improvements, and cycle-time reduction—and track them over time to demonstrate ROI and guide your roadmap. You will use data and user feedback to iterate, retire what isn't working, and double down on what is. The ideal candidate is comfortable both exploring emerging AI technology and getting close to operational workflows to understand where the friction really is. You are a self-directed builder who thrives in ambiguity, communicates crisply, and is energized by using AI to help a fast-growing organization do more with less.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
BASIC QUALIFICATIONS
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- 5+ years of product management, technical program management, or equivalent experience owning products or programs end to end
- Experience identifying process/workflow inefficiencies and delivering tooling or automation to address them
- Hands-on familiarity with generative AI models and/or agentic workflows and how to apply them to real use cases
- Experience defining KPIs, measuring outcomes, and using data to prioritize and demonstrate impact
- Strong stakeholder management skills and the ability to drive adoption and influence without authority
PREFERRED QUALIFICATIONS
- Experience with AI/ML technologies
- Familiarity with beta, early-access, pilot, or experience-validation programs
- Experience driving team-level tool adoption and change management
- Background in connectivity, hardware, telecommunications, or other technical products
- Experience partnering with engineering and applied-science teams to ship AI capabilities
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, Redmond - 151,200.00 - 204,600.00 USD annually
DESCRIPTION
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable broadband connectivity to customers beyond the reach of existing networks. From households to small businesses, schools, hospitals, and government agencies, Amazon Leo will serve communities and organizations operating in places without dependable internet access.
As the product owner for AI enablement in this space, you will start by auditing how beta teams work today, mapping workflows, pain points, and repetitive manual tasks to identify the highest-impact opportunities for AI automation or augmentation. You will turn those opportunities into a clear, prioritized roadmap and partner with beta program leads, engineering, and AI teams to build, integrate, and deploy solutions. You will stay current on emerging generative AI models, agentic frameworks, and beta-specific AI tooling, and you will test, evaluate, and benchmark candidate tools against real team use cases to make informed build-versus-adopt recommendations. You will collaborate with the broader Amazon AI and beta communities to surface best practices, reuse existing solutions, and find opportunities to partner. To drive impact, you will lead and document trainings that drive adoption among beta program leads and the wider Experience Validation team.
Key job responsibilities
Success in this role is measured by real, sustained impact on how your beta programs operate. You will establish clear KPIs for adoption and value—active user rates, time saved per task, output quality improvements, and cycle-time reduction—and track them over time to demonstrate ROI and guide your roadmap. You will use data and user feedback to iterate, retire what isn't working, and double down on what is. The ideal candidate is comfortable both exploring emerging AI technology and getting close to operational workflows to understand where the friction really is. You are a self-directed builder who thrives in ambiguity, communicates crisply, and is energized by using AI to help a fast-growing organization do more with less.
Export Control Requirement:
Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
BASIC QUALIFICATIONS
- Bachelor's degree
- Experience owning/driving roadmap strategy and definition
- 5+ years of product management, technical program management, or equivalent experience owning products or programs end to end
- Experience identifying process/workflow inefficiencies and delivering tooling or automation to address them
- Hands-on familiarity with generative AI models and/or agentic workflows and how to apply them to real use cases
- Experience defining KPIs, measuring outcomes, and using data to prioritize and demonstrate impact
- Strong stakeholder management skills and the ability to drive adoption and influence without authority
PREFERRED QUALIFICATIONS
- Experience with AI/ML technologies
- Familiarity with beta, early-access, pilot, or experience-validation programs
- Experience driving team-level tool adoption and change management
- Background in connectivity, hardware, telecommunications, or other technical products
- Experience partnering with engineering and applied-science teams to ship AI capabilities
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, Redmond - 151,200.00 - 204,600.00 USD annually
See All 54 AI Product Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Product Engineer JobsAI Product Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Product Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
What Washington Employers Look For
The qualifications that appear most often in AI product engineer jobs across Washington.
- Bachelor's or master's degree in computer science, engineering, or a related technical field
- Hands-on experience building and shipping AI or ML-powered product features in production
- Proficiency with Python and familiarity with ML frameworks such as PyTorch or TensorFlow
- Experience working with LLM APIs, prompt engineering, or retrieval-augmented generation systems
- Demonstrated ability to define product requirements and collaborate with cross-functional engineering teams
- Strong communication skills for presenting technical tradeoffs to both engineering and non-technical stakeholders
AI Product Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ai product engineer in Washington?
There is no state-issued license required to work as an ai product engineer in Washington. The standard path is a bachelor's degree in computer science, software engineering, or a closely related field, followed by hands-on experience building ML or AI-driven features in a product environment. Washington's density of large technology employers means candidates who can show shipped work, open-source contributions, or a portfolio of applied AI projects are well-positioned to enter the field here.
Which companies hire ai product engineers in Washington?
Employers hiring ai product engineers in Washington right now include Amazon, Microsoft, and Amazon Web Services, based on current listings on Migrate Mate as of September 2026. Washington's concentration of major technology headquarters means openings appear across both large enterprise teams and well-funded AI-focused startups based primarily in the greater Seattle and Eastside corridor.
Which Washington cities have the most ai product engineer jobs?
Seattle, Redmond, and Bellevue have the most ai product engineer openings in Washington. Seattle drives the largest share of demand as the headquarters city for Amazon and a major Google and Meta engineering hub, while Bellevue and Redmond anchor the Eastside corridor where Microsoft operates much of its core product and AI research organization, pulling significant hiring into those suburban markets.
Are there remote ai product engineer jobs in Washington?
Yes, and more than most fields. About 67% of ai product engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of this work happens in code, documentation, and asynchronous collaboration. The most fully remote roles tend to be in LLM integration, API development, and product strategy, where there is no physical hardware or on-site lab requirement.
How can I get hired as a ai product engineer in Washington with little or no experience?
The most realistic entry path is securing a role as an associate software engineer or junior ML engineer at one of Washington's large technology employers, then transitioning into an ai product-focused team from within. Amazon, Microsoft, and Google all run structured new-graduate and university-hire programs that place early-career engineers into AI product teams. Building a portfolio of small applied AI projects using publicly available APIs, contributing to open-source ML tooling, or completing a machine learning specialization credential gives candidates a concrete edge when applying to these programs.
Where can I find and apply to ai product engineer jobs in Washington?
You can find and apply to ai product engineer jobs in Washington on Migrate Mate, which lists current Washington openings from employers actively hiring for the role. Search the available positions, find roles that match your experience and target location, and apply directly to the ones that fit.
See All 54 AI Product Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Product Engineer Jobs