AI Solutions Engineer Jobs in Washington
AI Solutions Engineer jobs in Washington are among the most active in the country, concentrated in enterprise software, cloud infrastructure, defense technology, and healthcare IT, with openings at every level from associate to principal. Seattle and the Eastside corridor anchoring Redmond and Bellevue account for the bulk of hiring, followed by growing activity in Spokane, where Microsoft, Amazon, and Boeing maintain large engineering operations. The most in-demand specialties are large language model integration, MLOps pipeline development, and conversational AI deployment for enterprise clients. Find a role that fits below and apply directly.
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DESCRIPTION
AWS is looking for a hands-on Solutions Architect to join our Industrial Specialist & Solutions team. This leader will be responsible for leading the Manufacturing Technical Field Community (TFC) and running our Seattle based Physical AI Lab.
In this role, you'll build Physical AI prototypes and solutions working with our automotive and manufacturing customers, and lead the Manufacturing TFC working with the core team and TFC stakeholders. You'll own the lab's daily operations and manage project intake and builds, and publish reusable technical assets for the field and customers to adopt Physical AI solutions. As the Manufacturing TFC lead, you'll organize the community, asset development and enablement paths.
You'll work with Industry Specialists, Account Teams, Customers, and Partners.
Key job responsibilities
Physical AI Lab
- Carry out the lab build-out: set up hardware (robots, cobots, sensors, edge devices, PLCs), networking, and AWS cloud environments.
- Handle daily lab operations, including asset inventory, maintenance, access, safety, and security compliance.
- Act as the hands-on contact for hardware and software partners during setup and integration.
- Manage Project Intake & Prioritization, Keep the project backlog and roadmap up to date, and propose priorities for leadership to review.
- Track and report lab metrics such as engagements supported, assets published, and demos delivered.
- Build and deliver customer proofs of concept, demos, and lab sessions.
Manufacturing TFC Leadership
- Organize and run the Manufacturing TFC: plan meetings, enablement sessions, and the community content calendar.
- Manage builder projects, and solution development inline with priorities
- Collect field feedback, customers needs and ensure the technical asset backlog is prioritized.
- Work with the core team and stakeholders to ensure the TFC is meeting the needs of the community.
About the team
The Manufacturing & Engineering Center of Excellence (CoE) is part of the Industry Specialist and Solutions Organization within the Automotive and Manufacturing Business Unit (IBU). The team mission is: To assist automotive and manufacturing companies to digitally transform their product engineering & development, manufacturing, supply chain, and smart products & services workloads using cloud and AI.
BASIC QUALIFICATIONS
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience relevant experience working in an industrial, manufacturing, or warehouse environment
PREFERRED QUALIFICATIONS
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Knowledge of Physical AI, Robotics, Industrial Automations
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 - 131,300.00 - 177,600.00 USD annually
DESCRIPTION
AWS is looking for a hands-on Solutions Architect to join our Industrial Specialist & Solutions team. This leader will be responsible for leading the Manufacturing Technical Field Community (TFC) and running our Seattle based Physical AI Lab.
In this role, you'll build Physical AI prototypes and solutions working with our automotive and manufacturing customers, and lead the Manufacturing TFC working with the core team and TFC stakeholders. You'll own the lab's daily operations and manage project intake and builds, and publish reusable technical assets for the field and customers to adopt Physical AI solutions. As the Manufacturing TFC lead, you'll organize the community, asset development and enablement paths.
You'll work with Industry Specialists, Account Teams, Customers, and Partners.
Key job responsibilities
Physical AI Lab
- Carry out the lab build-out: set up hardware (robots, cobots, sensors, edge devices, PLCs), networking, and AWS cloud environments.
- Handle daily lab operations, including asset inventory, maintenance, access, safety, and security compliance.
- Act as the hands-on contact for hardware and software partners during setup and integration.
- Manage Project Intake & Prioritization, Keep the project backlog and roadmap up to date, and propose priorities for leadership to review.
- Track and report lab metrics such as engagements supported, assets published, and demos delivered.
- Build and deliver customer proofs of concept, demos, and lab sessions.
Manufacturing TFC Leadership
- Organize and run the Manufacturing TFC: plan meetings, enablement sessions, and the community content calendar.
- Manage builder projects, and solution development inline with priorities
- Collect field feedback, customers needs and ensure the technical asset backlog is prioritized.
- Work with the core team and stakeholders to ensure the TFC is meeting the needs of the community.
About the team
The Manufacturing & Engineering Center of Excellence (CoE) is part of the Industry Specialist and Solutions Organization within the Automotive and Manufacturing Business Unit (IBU). The team mission is: To assist automotive and manufacturing companies to digitally transform their product engineering & development, manufacturing, supply chain, and smart products & services workloads using cloud and AI.
BASIC QUALIFICATIONS
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- Experience relevant experience working in an industrial, manufacturing, or warehouse environment
PREFERRED QUALIFICATIONS
- Experience working within software development or Internet-related industries
- Experience migrating or transforming legacy customer solutions to the cloud
- Experience working with AWS technologies from a dev/ops perspective
- Knowledge of Physical AI, Robotics, Industrial Automations
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 - 131,300.00 - 177,600.00 USD annually
See All 40 AI Solutions Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Solutions Engineer JobsAI Solutions Engineer Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Solutions Engineer Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
- Amazon Web Services12
- Amazon8
- Google3
- HP2
- Microsoft2
Top Industries Hiring
- Technology & Software
- Distribution & Wholesale
What Washington Employers Look For
The qualifications that appear most often in AI solutions engineer jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related engineering field
- Hands-on experience building or deploying generative AI or large language model solutions
- Proficiency in Python and familiarity with cloud platforms such as Azure, AWS, or Google Cloud
- Ability to translate complex AI capabilities into working technical demos for enterprise customers
- Experience with REST APIs, model fine-tuning, and integration into existing software architectures
- Strong communication skills for presenting AI solutions to both technical and non-technical stakeholders
AI Solutions Engineer Jobs in Washington: Frequently Asked Questions
How do you become a ai solutions engineer in Washington?
A bachelor's degree in computer science, software engineering, or a closely related field is the standard foundation Washington employers expect. There is no state-issued license for this role, so hiring decisions turn on demonstrated AI project work. Building a portfolio of LLM or machine learning deployments, earning cloud certifications from Azure or AWS, and targeting Washington's dense concentration of enterprise tech employers in Seattle and the Eastside corridor are the most concrete steps you can take.
How much do AI solutions engineers make in Washington?
AI solutions 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 ai solutions engineers in Washington?
Employers hiring ai solutions engineers in Washington right now include Amazon Web Services, Amazon, and Google, based on current listings on Migrate Mate as of November 2026. Washington's outsized concentration of global tech headquarters and federal defense contractors means demand for this role is sustained across both commercial and government-facing teams.
Which Washington cities have the most ai solutions engineer jobs?
Seattle, Bellevue, and Redmond have the most ai solutions engineer openings in Washington. Seattle's density of cloud and enterprise software companies drives the largest share of listings, while Redmond and Bellevue reflect the engineering campuses of major tech headquarters concentrated on the Eastside, and Spokane has seen growth from regional healthcare IT and defense technology employers.
Are there remote ai solutions engineer jobs in Washington?
Yes, and more than most fields. About 88% of ai solutions engineer openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of the work centers on software integration and model development that does not require a fixed on-site presence. Customer-facing demo work and stakeholder workshops are the parts of the role most likely to require in-person attendance.
How can I get hired as a ai solutions engineer in Washington with little or no experience?
The most realistic entry path is moving laterally from a software engineer or data analyst role into an AI-focused team within the same organization. Large Washington tech employers commonly run new-grad rotational programs and internal AI upskilling tracks that move engineers into solutions roles without prior AI title experience. Building a public GitHub portfolio demonstrating LLM fine-tuning or retrieval-augmented generation projects, and earning an Azure AI Fundamentals or AWS Machine Learning Specialty certification, are the credentials Washington hiring managers cite most often for candidates without a direct title history.
Where can I find and apply to ai solutions engineer jobs in Washington?
You can find and apply to ai solutions engineer jobs in Washington on Migrate Mate, which lists current Washington openings across Seattle, Redmond, Bellevue, and the broader state. Find the roles that fit your experience and apply directly.
See All 40 AI Solutions Engineer Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Solutions Engineer Jobs