Senior AI Software Engineer Jobs in Seattle, WA
Senior AI Software Engineer jobs in Seattle concentrate in South Lake Union, the Eastside corridor including Bellevue and Redmond, and Capitol Hill, with strong demand from cloud computing, enterprise software, and healthtech sectors. Employers hiring right now include Amazon, Amazon Web Services, and TikTok. Find a role that fits below and apply directly.
Find JobsOverview
Showing 5 of 85+ Senior AI Software Engineer jobs
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 Senior AI Software Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find JobsSenior AI Software Engineer 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
Senior AI Software Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a senior ai software engineer job in Seattle?
The strongest path into Seattle's market is through its dominant cloud and enterprise software sector, where large tech campuses in South Lake Union and the Eastside concentrate most senior roles. Candidates who combine applied machine learning experience with production engineering skills stand out locally. Networking through Seattle-area AI meetups and demonstrating work on large-scale distributed systems gives a clear edge over generic applicants.
Which companies hire senior ai software engineers in Seattle?
Employers hiring senior ai software engineers in Seattle right now include Amazon, Amazon Web Services, and TikTok, based on current listings on Migrate Mate as of August 2026. The Seattle area draws a broad mix of global tech giants with major campuses, fast-growing cloud infrastructure startups, and healthtech companies building AI into clinical and operational platforms.
Are there remote senior ai software engineer jobs in Seattle?
Yes, though many roles at this seniority level require at least some on-site presence for system design reviews and cross-team collaboration. About 74% of senior ai software engineer openings tied to Seattle are remote or hybrid as of August 2026, with fully remote positions most common in research-oriented and platform engineering tracks where deep-focus independent work drives the output.
How can I get a senior ai software engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is targeting mid-level machine learning engineer or AI platform engineer roles at growth-stage startups in South Lake Union or the broader Eastside, where smaller teams give earlier exposure to senior responsibilities. Contributing to open-source AI projects, building a portfolio of deployed models, and engaging with Seattle's active AI research community at the University of Washington all accelerate the path to senior-level consideration.
Which industries hire the most senior ai software engineers in Seattle?
Most senior ai software engineer openings in Seattle sit in Technology & Software, Retail, and Distribution & Wholesale, per current listings on Migrate Mate as of August 2026. Seattle's concentration of cloud infrastructure providers, healthcare systems integrating AI into patient data pipelines, and autonomous systems companies makes it one of the most active markets in the country for this specialty.
Related Jobs in Washington
See All 85 Senior AI Software Engineer Jobs in Seattle
Find roles in Seattle that match your experience and apply in just a few clicks.
Find Jobs