Senior AI Software Engineer Jobs in Washington
Senior AI Software Engineer jobs in Washington are concentrated in Seattle, Bellevue, and Redmond, where Microsoft, Amazon, and Google maintain major engineering campuses and hire continuously at the senior level. Demand is strongest for engineers specializing in large language model development, MLOps, and applied machine learning infrastructure. Washington is among the most active markets in the country for this role, with openings at every seniority tier from tech lead to principal engineer. Find a role that fits below and apply directly.
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DESCRIPTION
This role leads AI engineering in DevOps & Release, reporting to the Director, DevOps & Release. It owns triage, test generation and selection, and campaign monitoring across the platform. Before anything is handed on, the bar is: each AI stage meets its acceptance criterion, with a manual fallback. It hands off to its customers as follows: triage, test generation, and selection to every team.
What the team needs to achieve
- Each AI stage meets its acceptance criterion, with a manual fallback.
- Hand-offs that meet their service level: triage, test generation, and selection to every team.
- Measured, rising capability and efficiency of the team, with manual work falling release over release.
How the team is measured
- Each AI stage meeting its acceptance criterion.
- Gap between the serial loop budget and the pipelined loop time.
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.
Key job responsibilities
- Own triage, test generation and selection, and campaign monitoring across the platform.
- Meet the bar before every hand-off: each AI stage meets its acceptance criterion, with a manual fallback.
- Work directly with engineers in the boundary teams as partners, through agreed contracts and service levels.
- Automate everything a person would otherwise do twice.
- Hire, coach, and grow the team, with clear expectations and career development for every engineer.
- Define the team's metrics and service levels, and improve them release over release.
- Make the team's decisions data-driven and its quality measurable, and escalate early when risks cross team boundaries.
- Set the team's roadmap and the structure and mechanisms that deliver it, and negotiate the boundaries of the area with peer teams.
- Build the mechanisms and best practices that make the team's work repeatable, measurable, and improving.
A day in the life
About the team
D2D Software is an evolving organization of many teams: Software Architecture & Specifications; Software Delivery & Business Ops; Software Integration, Verification & Reliability; DevOps & Release; Satellite Software Development; Ground Software Development; and Customer Software Engineering & Support. Each Director owns business outcomes: delivering the commitments, and the capability and efficiency of their teams. Teams work as internal customers and suppliers with agreed service levels, interfaces are agreed centrally while designs stay local, and engineers are expected to work directly with engineers across every boundary. Milestones are committed deadlines for delivery with quality, not gates to wait on, and every team runs on one toolchain and one system of record. Every measure is derived from the systems of record, never self-reported, and we improve release over release with a target of perfection.
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, computer engineering, or related technical field
- 5+ years of software development experience
- Experience in management: developing engineers into managers and building teams
- Experience hiring and developing engineers, setting clear goals, and giving regular feedback and coaching
- Experience leading a team where the problem and strategy are not yet fully defined, working backwards from the customer
- Experience building applied machine learning or AI systems for engineering workflows
- Experience measuring model quality with clear acceptance criteria
- Experience across the full software development lifecycle, having shipped software and maintained it in production
PREFERRED QUALIFICATIONS
- Experience managing managers or leading several teams
- Experience with AI for test generation or defect triage
- Experience with AI assurance
- Experience setting a multi-year direction for an area, designing the team structure and mechanisms to deliver it, and aligning several teams around it
- Experience setting strategy where the problem, opportunity, and strategy are not defined, telling one-way from two-way doors, and presenting decisions and strategy narratives to senior leaders across the organization
- A record of writing clear narratives and running data-driven reviews
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 - 220,100.00 - 297,700.00 USD annually
DESCRIPTION
This role leads AI engineering in DevOps & Release, reporting to the Director, DevOps & Release. It owns triage, test generation and selection, and campaign monitoring across the platform. Before anything is handed on, the bar is: each AI stage meets its acceptance criterion, with a manual fallback. It hands off to its customers as follows: triage, test generation, and selection to every team.
What the team needs to achieve
- Each AI stage meets its acceptance criterion, with a manual fallback.
- Hand-offs that meet their service level: triage, test generation, and selection to every team.
- Measured, rising capability and efficiency of the team, with manual work falling release over release.
How the team is measured
- Each AI stage meeting its acceptance criterion.
- Gap between the serial loop budget and the pipelined loop time.
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.
Key job responsibilities
- Own triage, test generation and selection, and campaign monitoring across the platform.
- Meet the bar before every hand-off: each AI stage meets its acceptance criterion, with a manual fallback.
- Work directly with engineers in the boundary teams as partners, through agreed contracts and service levels.
- Automate everything a person would otherwise do twice.
- Hire, coach, and grow the team, with clear expectations and career development for every engineer.
- Define the team's metrics and service levels, and improve them release over release.
- Make the team's decisions data-driven and its quality measurable, and escalate early when risks cross team boundaries.
- Set the team's roadmap and the structure and mechanisms that deliver it, and negotiate the boundaries of the area with peer teams.
- Build the mechanisms and best practices that make the team's work repeatable, measurable, and improving.
A day in the life
About the team
D2D Software is an evolving organization of many teams: Software Architecture & Specifications; Software Delivery & Business Ops; Software Integration, Verification & Reliability; DevOps & Release; Satellite Software Development; Ground Software Development; and Customer Software Engineering & Support. Each Director owns business outcomes: delivering the commitments, and the capability and efficiency of their teams. Teams work as internal customers and suppliers with agreed service levels, interfaces are agreed centrally while designs stay local, and engineers are expected to work directly with engineers across every boundary. Milestones are committed deadlines for delivery with quality, not gates to wait on, and every team runs on one toolchain and one system of record. Every measure is derived from the systems of record, never self-reported, and we improve release over release with a target of perfection.
BASIC QUALIFICATIONS
- Bachelor's degree in computer science, computer engineering, or related technical field
- 5+ years of software development experience
- Experience in management: developing engineers into managers and building teams
- Experience hiring and developing engineers, setting clear goals, and giving regular feedback and coaching
- Experience leading a team where the problem and strategy are not yet fully defined, working backwards from the customer
- Experience building applied machine learning or AI systems for engineering workflows
- Experience measuring model quality with clear acceptance criteria
- Experience across the full software development lifecycle, having shipped software and maintained it in production
PREFERRED QUALIFICATIONS
- Experience managing managers or leading several teams
- Experience with AI for test generation or defect triage
- Experience with AI assurance
- Experience setting a multi-year direction for an area, designing the team structure and mechanisms to deliver it, and aligning several teams around it
- Experience setting strategy where the problem, opportunity, and strategy are not defined, telling one-way from two-way doors, and presenting decisions and strategy narratives to senior leaders across the organization
- A record of writing clear narratives and running data-driven reviews
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 - 220,100.00 - 297,700.00 USD annually
See All 55 Senior AI Software Engineer Jobs in Washington
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Find JobsSenior AI Software Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Senior AI Software Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon Web Services10
- Amazon9
- Microsoft7
- Airwallex5
- Google3
Top Industries Hiring
- Technology & Software
- Retail
- Distribution & Wholesale
- Banking & Financial Services
- E-Commerce & Online Marketplaces
What Washington Employers Look For
The qualifications that appear most often in senior AI software engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Five or more years of experience building and deploying production AI or machine learning systems
- Deep proficiency in Python and at least one major ML framework such as PyTorch or TensorFlow
- Hands-on experience with LLM fine-tuning, RAG architectures, or generative AI product development
- Demonstrated ability to design scalable ML pipelines on cloud platforms such as AWS, Azure, or GCP
- Strong communication skills and experience collaborating with cross-functional product and research teams
Senior AI Software Engineer Jobs in Washington: Frequently Asked Questions
How do you become a senior ai software engineer in Washington?
The path in Washington typically starts with a bachelor's or master's degree in computer science, machine learning, or a closely related field. Washington does not require a state-issued license for this role. Employers here weight hands-on experience with production AI systems heavily, so a portfolio of deployed models, open-source contributions, or research publications in ML carries significant weight when applying to senior roles at Washington-based technology companies.
How much do senior AI software engineers make in Washington?
Senior AI software 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 senior ai software engineers in Washington?
Employers hiring senior ai software engineers in Washington right now include Amazon Web Services, Amazon, and Microsoft, based on current listings on Migrate Mate as of November 2026. Washington's concentration of major technology headquarters and cloud computing divisions makes it one of the densest single-state markets for this role in the country.
Which Washington cities have the most senior ai software engineer jobs?
The cities with the most senior ai software engineer openings in Washington are Seattle, Redmond, and Bellevue. Seattle and Bellevue anchor the market because of the dense concentration of technology company headquarters and cloud engineering divisions there, while Redmond draws heavily from Microsoft's main campus and its AI research and product teams.
Are there remote senior ai software engineer jobs in Washington?
Yes, and more than most fields. About 92% of senior ai software engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how naturally the work translates to distributed environments. Model development, research engineering, and ML platform work tend to be the most remote-friendly sub-areas within the role.
How can I get hired as a senior ai software engineer in Washington with little or no experience?
The most realistic entry path is through an adjacent software engineering role, then building a transition portfolio in ML. Microsoft, Amazon, and Google all run new-graduate rotational and university hiring programs in Washington that place candidates with strong academic ML backgrounds into junior AI engineering roles. From there, internal transfers to senior AI teams are common. A strong GitHub portfolio with deployed model projects or a published Kaggle competition result can move a candidate into consideration even before formal years of experience accumulate.
Where can I find and apply to senior ai software engineer jobs in Washington?
You can find and apply to senior ai software engineer jobs in Washington on Migrate Mate, which lists current Washington openings. Find roles that fit your background and apply directly from the listing.
See All 55 Senior AI Software Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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