AI Software Developer Jobs in Washington
AI Software Developer jobs in Washington are among the most active in the country, concentrated in enterprise software, cloud infrastructure, autonomous systems, and defense technology, with openings at every level from entry-level engineer through staff and principal. Seattle leads hiring volume, followed by Bellevue and Redmond, where companies like Microsoft, Amazon, and Boeing have deep, sustained AI development operations. The most in-demand specialties include large language model integration, MLOps, and AI-driven product development. 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 AI Software Developer Jobs in Washington
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Find AI Software Developer JobsAI Software Developer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Software Developer 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 AI software developer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related field
- Proficiency in Python and familiarity with frameworks such as PyTorch or TensorFlow
- Experience designing, training, and deploying machine learning models in production environments
- Demonstrated ability to work with large datasets and cloud platforms such as Azure or AWS
- Strong collaboration skills for cross-functional teams including product, data science, and engineering
- Familiarity with MLOps practices, including model monitoring, versioning, and CI/CD pipelines
AI Software Developer Jobs in Washington: Frequently Asked Questions
How do you become a ai software developer in Washington?
There is no state-issued license required to work as an ai software developer in Washington. Most roles require a bachelor's degree in computer science, software engineering, or a related field, and Washington employers strongly favor candidates with hands-on machine learning or AI project experience. Building a portfolio through open-source contributions, capstone projects, or internships with Washington-based tech firms accelerates hiring. Cloud certifications from Azure or AWS are widely recognized and add concrete credibility.
How much do AI software developers make in Washington?
AI software developers 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 ai software developers in Washington?
Employers hiring ai software developers in Washington right now include Amazon, Google, and Amazon Web Services, based on current listings on Migrate Mate as of August 2026. Washington's dense concentration of technology headquarters and defense contractors means AI development roles appear across both commercial product companies and large government-contracted engineering firms.
Which Washington cities have the most ai software developer jobs?
Seattle, Bellevue, and Redmond have the most ai software developer openings in Washington. Seattle drives the highest volume as the headquarters city for major technology platforms and cloud services, while Bellevue and Redmond anchor a secondary corridor of enterprise software, gaming, and autonomous vehicle research that draws consistent hiring across seniority levels.
Are there remote ai software developer jobs in Washington?
Yes, and more than most fields. About 82% of ai software developer openings tied to Washington are remote or hybrid as of August 2026, reflecting how naturally the work translates to distributed teams. Model development, research, and LLM integration work are the sub-areas most likely to appear as fully remote, while roles requiring access to proprietary hardware or secure facilities tend to stay on-site.
How can I get hired as a ai software developer in Washington with little or no experience?
The most realistic entry path is through a new-graduate software engineering role with an AI focus, then transitioning once you have production experience. Microsoft's Leap program and Amazon's university recruiting pipelines both bring in candidates without professional AI experience but with strong academic or project portfolios. Contributing to open-source ML projects, completing a machine learning specialization, and applying to ML engineer associate or data scientist roles at Washington-based mid-size software companies are the most direct lateral moves into the field.
Where can I find and apply to ai software developer jobs in Washington?
You can find and apply to ai software developer jobs in Washington on Migrate Mate, which lists current Washington openings. Find the roles that fit your experience and apply directly to the ones that match.
See All 85 AI Software Developer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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