Applied AI Engineer Jobs in Washington
Applied AI Engineer jobs in Washington are among the most active in the country, concentrated in cloud infrastructure, enterprise software, healthcare technology, and defense systems, with openings at every level from early-career engineers to senior principal roles. Seattle and Bellevue anchor the bulk of hiring, with Redmond and Kirkland close behind, and employers like Microsoft, Amazon, and Boeing sustaining consistent demand for applied AI talent across product, research, and embedded systems teams. The most sought-after specialties include large language model deployment, MLOps, computer vision, and real-time inference at scale. Find a role that fits below and apply directly.
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DESCRIPTION
These systems are deployed to Amazon buildings, and you will also work on rigorous offline and online evaluations.
Your work will leverage the latest LLMs to develop capabilities for agentic reasoning, coding and analytics. You will also lead research projects to tackle unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication.
Key job responsibilities
- Generating training and preference data for specific use cases (reasoning trajectories, tool traces)
- Reward modeling and policy optimization for LLMs: DPO, IPO, RLHF/RLAIF with PPO/GRPO, rejection sampling.
- Supervised fine-tuning on step-by-step trajectories and tool-use traces
- Verbal Reinforcement Learning and Continual Learning
- RL for LLMs, Offline RL and off-policy evaluation
- Agentic memory/state management; episodic and semantic memory; vector search; grounding with RAG.
- Evaluation: developing decision quality metrics, scaling LLM-based evaluations.
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. Learn more about AFT: https://tinyurl.com/AFTOverview
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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, Bellevue - 142,800.00 - 193,200.00 USD annually
DESCRIPTION
These systems are deployed to Amazon buildings, and you will also work on rigorous offline and online evaluations.
Your work will leverage the latest LLMs to develop capabilities for agentic reasoning, coding and analytics. You will also lead research projects to tackle unsolved problems, mentor interns, and author academic papers to summarize your findings for external publication.
Key job responsibilities
- Generating training and preference data for specific use cases (reasoning trajectories, tool traces)
- Reward modeling and policy optimization for LLMs: DPO, IPO, RLHF/RLAIF with PPO/GRPO, rejection sampling.
- Supervised fine-tuning on step-by-step trajectories and tool-use traces
- Verbal Reinforcement Learning and Continual Learning
- RL for LLMs, Offline RL and off-policy evaluation
- Agentic memory/state management; episodic and semantic memory; vector search; grounding with RAG.
- Evaluation: developing decision quality metrics, scaling LLM-based evaluations.
About the team
Amazon Fulfillment Technologies (AFT) powers Amazon's global fulfillment network. We invent and deliver software, hardware, and data science solutions that orchestrate processes, robots, machines, and people. We harmonize the physical and virtual world so Amazon customers can get what they want, when they want it. Learn more about AFT: https://tinyurl.com/AFTOverview
BASIC QUALIFICATIONS
- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing
PREFERRED QUALIFICATIONS
- Experience using Unix/Linux
- Experience in professional software development
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, Bellevue - 142,800.00 - 193,200.00 USD annually
See All 51 Applied AI Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Applied AI Engineer JobsApplied AI Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Applied AI Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon23
- Amazon Web Services11
- Apple4
- GEICO3
- Google2
Top Industries Hiring
- Technology & Software
- Retail
- E-Commerce & Online Marketplaces
- Science & Research
- Distribution & Wholesale
What Washington Employers Look For
The qualifications that appear most often in applied AI engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and familiarity with ML frameworks such as PyTorch or TensorFlow
- Experience with cloud platforms, particularly Azure or AWS, for model training and inference
- Strong understanding of MLOps practices including model versioning, monitoring, and CI/CD pipelines
- Ability to collaborate with cross-functional teams including data scientists, product managers, and software engineers
Applied AI Engineer Jobs in Washington: Frequently Asked Questions
How do you become a applied ai engineer in Washington?
Applied ai engineer roles in Washington do not require a state-issued license, so the path runs through education and demonstrated technical ability. Most Washington employers expect at least a bachelor's degree in computer science, data science, or electrical engineering, with a master's degree increasingly common at Seattle and Bellevue-area tech firms. Building a portfolio of deployed ML projects, contributing to open-source work, and completing cloud certifications on platforms like Azure or AWS are the strongest signals for Washington hiring teams.
How much do applied AI engineers make in Washington?
Applied AI engineers in Washington earn a median of about $166,540 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $96,810 for the lowest 10% to over $255,350 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire applied ai engineers in Washington?
Employers hiring applied ai engineers in Washington right now include Amazon, Amazon Web Services, and Apple, based on current listings on Migrate Mate as of September 2026. Washington's concentration of major cloud providers and enterprise software headquarters means demand is sustained year-round rather than tied to seasonal hiring cycles.
Which Washington cities have the most applied ai engineer jobs?
Seattle, Bellevue, and Redmond have the most applied ai engineer openings in Washington. Seattle and Bellevue drive the largest share because they house the headquarters and major engineering campuses of Microsoft, Amazon, and a dense cluster of AI-focused startups, while Redmond and Kirkland contribute significantly through Microsoft's research and product divisions and a growing number of cloud-adjacent firms.
Are there remote applied ai engineer jobs in Washington?
Yes, and more than most fields. About 43% of applied ai engineer openings tied to Washington are remote or hybrid as of September 2026, reflecting how much of this work centers on code, model experimentation, and cloud infrastructure rather than on-site hardware. Fully remote postings are most common for MLOps, model evaluation, and API integration roles, while positions involving proprietary hardware or defense systems typically require an on-site presence.
How can I get hired as a applied ai engineer in Washington with little or no experience?
The most realistic entry path is through an adjacent software engineering or data analyst role at a Washington employer, then moving internally once you build ML skills on the job. Microsoft and Amazon both run new-graduate programs and university recruiting pipelines that place candidates without professional AI experience into junior applied science or software development engineer roles that feed into AI teams. A strong portfolio of end-to-end ML projects, a cloud certification, and familiarity with Python and PyTorch give early-career candidates a concrete edge in Washington interviews.
Where can I find and apply to applied ai engineer jobs in Washington?
You can find and apply to applied ai engineer jobs in Washington on Migrate Mate, which lists current openings across the state. Search the listings, find the roles that fit your experience and location, and apply directly to the ones that match.
See All 51 Applied AI Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Applied AI Engineer Jobs