Software Engineer AI Jobs in Washington
Software Engineer AI jobs in Washington are among the most actively recruited technology roles in the country, concentrated in cloud infrastructure, enterprise software, and autonomous systems across seniority levels from new graduate through principal engineer. Seattle anchors most of the demand, with Redmond and Bellevue close behind, where Microsoft, Amazon, and Google maintain large AI research and product engineering teams. The most consistently sought specialties are large language model fine-tuning, ML platform engineering, and applied AI for cloud-native products. Find a role that fits below and apply directly.
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DESCRIPTION
# Job Summary – Senior Software Development Engineer, SageMaker AI Studio
Amazon Web Services (AWS) is seeking a Senior Software Development Engineer to join the SageMaker AI Studio team. SageMaker AI Studio is the industry-leading integrated development environment (IDE) for machine learning and generative AI, empowering millions of developers and data scientists to build, train, and deploy models at scale.
As a Senior SDE on this team, you will own the design and delivery of large-scale, highly available distributed systems that power the end-to-end ML development experience. You will drive technical vision, influence product direction, and raise the engineering bar across the organization. You will work at the intersection of cloud infrastructure, developer tooling, and AI/ML—solving complex problems that directly impact how customers innovate with machine learning.
## Key Responsibilities
- **Technical Leadership** – Lead the architecture, design, and implementation of complex software systems. Define long-term technical strategy and drive alignment across teams.
- **System Design & Delivery** – Own end-to-end delivery of large-scale distributed services with high availability, low latency, and operational excellence.
- **Cross-Team Influence** – Collaborate with product, science, and partner engineering teams to define roadmaps and deliver customer-obsessed solutions.
- **Mentorship & Bar Raising** – Mentor engineers across levels, conduct design and code reviews, and actively raise the technical and operational bar for the team.
- **Operational Excellence** – Champion best practices in CI/CD, observability, testing, and incident management. Drive a culture of ownership and accountability.
- **Innovation** – Identify opportunities to simplify, automate, and improve the developer experience. Contribute to patents, publications, or open-source projects where appropriate.
- **Customer Obsession** – Deeply understand customer workflows and pain points; translate insights into scalable, intuitive platform capabilities.
## Basic Qualifications
- 7+ years of professional software development experience
- 5+ years of professional experience designing and building large-scale distributed systems
- Proficiency in one or more modern programming languages (e.g., Java, Python, TypeScript, Go)
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
## Preferred Qualifications
- Experience building developer tools, IDEs, or ML/AI platforms
- Deep understanding of cloud-native architectures (containers, server-less, micro-services)
- Track record of delivering ambiguous, high-impact projects with minimal guidance
- Experience mentoring senior engineers and influencing technical direction across an organization
- Familiarity with ML workflows (training, inference, model management) and the challenges practitioners face
- Master's or PhD in Computer Science or related field
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, BELLEVUE - 168,100.00 - 227,400.00 USD annually
DESCRIPTION
# Job Summary – Senior Software Development Engineer, SageMaker AI Studio
Amazon Web Services (AWS) is seeking a Senior Software Development Engineer to join the SageMaker AI Studio team. SageMaker AI Studio is the industry-leading integrated development environment (IDE) for machine learning and generative AI, empowering millions of developers and data scientists to build, train, and deploy models at scale.
As a Senior SDE on this team, you will own the design and delivery of large-scale, highly available distributed systems that power the end-to-end ML development experience. You will drive technical vision, influence product direction, and raise the engineering bar across the organization. You will work at the intersection of cloud infrastructure, developer tooling, and AI/ML—solving complex problems that directly impact how customers innovate with machine learning.
## Key Responsibilities
- **Technical Leadership** – Lead the architecture, design, and implementation of complex software systems. Define long-term technical strategy and drive alignment across teams.
- **System Design & Delivery** – Own end-to-end delivery of large-scale distributed services with high availability, low latency, and operational excellence.
- **Cross-Team Influence** – Collaborate with product, science, and partner engineering teams to define roadmaps and deliver customer-obsessed solutions.
- **Mentorship & Bar Raising** – Mentor engineers across levels, conduct design and code reviews, and actively raise the technical and operational bar for the team.
- **Operational Excellence** – Champion best practices in CI/CD, observability, testing, and incident management. Drive a culture of ownership and accountability.
- **Innovation** – Identify opportunities to simplify, automate, and improve the developer experience. Contribute to patents, publications, or open-source projects where appropriate.
- **Customer Obsession** – Deeply understand customer workflows and pain points; translate insights into scalable, intuitive platform capabilities.
## Basic Qualifications
- 7+ years of professional software development experience
- 5+ years of professional experience designing and building large-scale distributed systems
- Proficiency in one or more modern programming languages (e.g., Java, Python, TypeScript, Go)
- Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
## Preferred Qualifications
- Experience building developer tools, IDEs, or ML/AI platforms
- Deep understanding of cloud-native architectures (containers, server-less, micro-services)
- Track record of delivering ambiguous, high-impact projects with minimal guidance
- Experience mentoring senior engineers and influencing technical direction across an organization
- Familiarity with ML workflows (training, inference, model management) and the challenges practitioners face
- Master's or PhD in Computer Science or related field
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, BELLEVUE - 168,100.00 - 227,400.00 USD annually
See All 85 Software Engineer AI Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Software Engineer AI JobsSoftware Engineer AI Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
Software Engineer AI Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon24
- Google8
- Amazon Web Services8
- Microsoft5
- TikTok3
Top Industries Hiring
- Technology & Software15
- Artificial Intelligence3
- Banking & Financial Services3
- Retail2
- Distribution & Wholesale2
What Washington Employers Look For
The qualifications that appear most often in software engineer AI jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a closely related field
- Hands-on experience building or deploying machine learning models in production environments
- Proficiency in Python and at least one ML framework such as PyTorch or TensorFlow
- Familiarity with cloud platforms, particularly AWS, Azure, or Google Cloud AI services
- Experience with large language models, fine-tuning pipelines, or retrieval-augmented generation systems
- Strong communication skills for collaborating across product, research, and infrastructure teams
Software Engineer AI Jobs in Washington: Frequently Asked Questions
How do you become a software engineer ai in Washington?
There is no state-issued license required to work as a software engineer ai in Washington. Most candidates enter through a bachelor's or master's degree in computer science, artificial intelligence, or a related discipline from universities such as the University of Washington or Washington State University. Employers in Seattle and Redmond place strong weight on demonstrated project work, open-source contributions, and internship experience with ML systems over credentials alone.
How much do software engineer AIs make in Washington?
Software engineer AIs 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 software engineer ais in Washington?
Employers hiring software engineer ais in Washington right now include Amazon, Google, and Amazon Web Services, based on current listings on Migrate Mate as of August 2026. Washington's concentration of major cloud and enterprise technology headquarters means AI-focused engineering roles turn over frequently, with both established product teams and newer AI product divisions posting regularly throughout the year.
Which Washington cities have the most software engineer ai jobs?
Seattle, Bellevue, and Redmond lead Washington for software engineer ai openings. Seattle drives the majority of listings because of its dense cluster of technology headquarters and AI research labs, while Redmond and Bellevue add substantial volume through Microsoft's campus operations and the many mid-size software companies that have located near those anchor employers.
Are there remote software engineer ai jobs in Washington?
Yes, and more than most fields. About 82% of software engineer ai openings tied to Washington are remote or hybrid as of August 2026, reflecting how much of this work is computer-based and collaborative across distributed teams. Model training, evaluation pipeline work, and prompt engineering roles are the most likely to be offered with full or partial remote arrangements.
How can I get hired as a software engineer ai in Washington with little or no experience?
The most realistic entry path is through an internship or new-graduate program at one of Washington's large technology employers. Microsoft, Amazon, and Google all run structured new-graduate hiring cycles that recruit directly from University of Washington and Washington State University. Candidates without a degree can build a portfolio of ML projects on public datasets, contribute to open-source AI repositories, and apply to associate or junior ML engineer roles that serve as a stepping stone into dedicated AI engineering positions.
Where can I find and apply to software engineer ai jobs in Washington?
You can find and apply to software engineer ai jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Redmond, Bellevue, and beyond. Find the roles that fit your experience and specialization and apply directly from each listing.
See All 85 Software Engineer AI Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find Software Engineer AI Jobs