AI Software Developer Jobs in Seattle, WA
AI Software Developer jobs in Seattle are in high demand, concentrated in South Lake Union, Capitol Hill, and the Eastside tech corridor across cloud computing, enterprise AI, and healthcare technology. Employers hiring right now include Amazon, Amazon Web Services, and TikTok. See the openings below and apply to the ones that match your experience.
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DESCRIPTION
We are seeking a talented and passionate Senior Software Development Engineer (SDE) who wishes to work at the intersection of Automated Reasoning and cloud-scale distributed systems, building and operating managed reasoning infrastructure that powers correctness guarantees across AWS.
As a Senior SDE, you will design, build, and operate Amazon's cloud-hosted automated reasoning platform that enables AWS services to offload satisfiability and verification queries at scale. You will work on challenges spanning distributed systems, solver performance optimization, API design, and service reliability. Your work will directly enable customers to verify correctness of software, infrastructure configurations, and AI-generated code at AWS scale.
This is a unique opportunity to combine deep systems engineering with automated reasoning technology. You'll work alongside world-class scientists and engineers to turn research breakthroughs in solver technology into production services that power correctness guarantees for millions of customers. The problems are hard, the impact is enormous, and the team is small enough that your contributions will be highly visible.
Key job responsibilities
- Design and implement core components of the managed cloud automated reasoning service, including query routing, solver orchestration, result caching, and soundness management.
- Build and maintain high-availability, low-latency distributed systems that meet AWS's operational excellence standards.
- Develop and evolve the service API to reduce friction for customers migrating from local solvers, and to support new reasoning use cases (including Agentic AI correctness verification).
- Partner with Automated Reasoning scientists to translate research advances in solver technology into production-ready capabilities.
- Drive operational excellence—own on-call responsibilities, build monitoring and alerting, automate deployments, and continuously improve service reliability.
- Mentor junior engineers, contribute to technical design reviews, and raise the bar on engineering practices across the team.
- Work with internal AWS customer teams to understand their reasoning workloads, troubleshoot integration issues, and optimize performance for their use cases.
A day in the life
A typical day may include diving deep into a distributed systems design for a new feature, collaborating with AR scientists on integrating a solver optimization, reviewing code from teammates, debugging a latency issue in the query pipeline, or meeting with a customer team to understand their verification needs. You'll balance hands-on coding with technical leadership—writing design documents, leading architecture discussions, and mentoring others. You might also participate in operational reviews, work on automating deployment pipelines, or prototype a new approach to scaling solver workloads.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ 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 - 168,100.00 - 227,400.00 USD annually
DESCRIPTION
We are seeking a talented and passionate Senior Software Development Engineer (SDE) who wishes to work at the intersection of Automated Reasoning and cloud-scale distributed systems, building and operating managed reasoning infrastructure that powers correctness guarantees across AWS.
As a Senior SDE, you will design, build, and operate Amazon's cloud-hosted automated reasoning platform that enables AWS services to offload satisfiability and verification queries at scale. You will work on challenges spanning distributed systems, solver performance optimization, API design, and service reliability. Your work will directly enable customers to verify correctness of software, infrastructure configurations, and AI-generated code at AWS scale.
This is a unique opportunity to combine deep systems engineering with automated reasoning technology. You'll work alongside world-class scientists and engineers to turn research breakthroughs in solver technology into production services that power correctness guarantees for millions of customers. The problems are hard, the impact is enormous, and the team is small enough that your contributions will be highly visible.
Key job responsibilities
- Design and implement core components of the managed cloud automated reasoning service, including query routing, solver orchestration, result caching, and soundness management.
- Build and maintain high-availability, low-latency distributed systems that meet AWS's operational excellence standards.
- Develop and evolve the service API to reduce friction for customers migrating from local solvers, and to support new reasoning use cases (including Agentic AI correctness verification).
- Partner with Automated Reasoning scientists to translate research advances in solver technology into production-ready capabilities.
- Drive operational excellence—own on-call responsibilities, build monitoring and alerting, automate deployments, and continuously improve service reliability.
- Mentor junior engineers, contribute to technical design reviews, and raise the bar on engineering practices across the team.
- Work with internal AWS customer teams to understand their reasoning workloads, troubleshoot integration issues, and optimize performance for their use cases.
A day in the life
A typical day may include diving deep into a distributed systems design for a new feature, collaborating with AR scientists on integrating a solver optimization, reviewing code from teammates, debugging a latency issue in the query pipeline, or meeting with a customer team to understand their verification needs. You'll balance hands-on coding with technical leadership—writing design documents, leading architecture discussions, and mentoring others. You might also participate in operational reviews, work on automating deployment pipelines, or prototype a new approach to scaling solver workloads.
BASIC QUALIFICATIONS
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
PREFERRED QUALIFICATIONS
- 5+ 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 - 168,100.00 - 227,400.00 USD annually
See All 85 AI Software Developer Jobs in Seattle
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Find AI Software Developer JobsAI Software Developer Job Market in Seattle
Who's Hiring
- Amazon27
- Amazon Web Services8
- TikTok5
- The Allen Institute for Artificial Intelligence5
- UKG3
Top Industries Hiring
- Technology & Software18
- Retail3
- Distribution & Wholesale3
- Banking & Financial Services3
- E-Commerce & Online Marketplaces3
AI Software Developer Jobs in Seattle: Frequently Asked Questions
How do I get a ai software developer job in Seattle?
Focus your search on Seattle's South Lake Union corridor, the Eastside cities of Bellevue and Redmond, and the growing Capitol Hill tech scene, where cloud infrastructure, enterprise software, and healthtech companies concentrate the most AI engineering roles. Candidates who demonstrate hands-on experience with large language models, MLOps pipelines, or applied machine learning targeting specific verticals like healthcare or autonomous systems stand out in Seattle's competitive market.
Which companies hire ai software developers in Seattle?
Employers hiring ai software developers in Seattle right now include Amazon, Amazon Web Services, and TikTok, based on current listings on Migrate Mate as of August 2026. Seattle's hiring base skews toward large cloud platform companies, well-funded AI startups in South Lake Union, and established enterprise software firms with dedicated machine learning divisions.
Are there remote ai software developer jobs in Seattle?
Yes, and AI software development is among the more remote-friendly engineering disciplines since the core work involves code, model training, and data pipelines rather than physical presence. About 74% of ai software developer openings tied to Seattle are remote or hybrid as of August 2026. Model development, experimentation, and research roles tend to be the most flexible, while roles tied to proprietary hardware or real-time systems at companies in Redmond and Bellevue more often require on-site work.
How can I get a ai software developer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through junior ML engineer or AI platform associate roles at mid-size software companies and startups in South Lake Union, which tend to hire candidates with strong project portfolios even without professional experience. Contributing to open-source AI projects, completing applied capstone work through University of Washington or Seattle-area bootcamps, and targeting companies building narrowly focused AI tools rather than large-scale foundation models significantly improves entry-level prospects in this market.
Which industries hire the most ai software developers in Seattle?
The sectors hiring the most ai software developers in Seattle are Technology & Software, Retail, and Distribution & Wholesale, based on current listings on Migrate Mate as of August 2026. Seattle's concentration of cloud hyperscalers, healthtech companies anchored by institutions like UW Medicine and Fred Hutch, and a dense ecosystem of enterprise software firms creates unusually consistent demand for applied AI talent across multiple industries simultaneously.
Related Jobs in Washington
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