AI Specialist Jobs in Washington
AI Specialist jobs in Washington are among the most actively recruited technology roles in the country, concentrated in cloud computing, enterprise software, and defense technology, with openings at every level from junior machine learning engineer to principal AI architect. Seattle and Bellevue anchor the majority of hiring, with Redmond and Kirkland also generating consistent demand, and employers like Microsoft, Amazon, and Boeing maintain deep, ongoing AI teams in the region. The most sought-after specialties are large language model development, computer vision, and MLOps engineering. 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 21 AI Specialist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Specialist JobsAI Specialist Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Specialist Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Technology & Software
What Washington Employers Look For
The qualifications that appear most often in AI specialist jobs across Washington.
- Bachelor's or master's degree in computer science, data science, or a related technical field
- Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch
- Hands-on experience designing, training, and deploying production machine learning models
- Familiarity with cloud AI platforms, particularly Azure, AWS, or Google Cloud
- Strong understanding of data pipelines, feature engineering, and model evaluation methods
- Experience collaborating with cross-functional engineering and product teams on AI-driven projects
AI Specialist Jobs in Washington: Frequently Asked Questions
How do you become a ai specialist in Washington?
Washington does not require a state-issued license to work as an ai specialist, so entry is credential and skill driven. Most employers expect at least a bachelor's degree in computer science, data science, or a closely related field, though a master's degree is common at senior levels. Building a portfolio of deployed models and earning recognized certifications from cloud providers like Microsoft or AWS strengthens a candidacy in Washington's competitive market significantly.
Which companies hire ai specialists in Washington?
Employers hiring ai specialists in Washington right now include Amazon Web Services, Google, and Amazon, based on current listings on Migrate Mate as of November 2026. Washington's dense concentration of cloud and enterprise technology headquarters means many of these companies are building proprietary AI platforms rather than simply deploying off-the-shelf tools.
Which Washington cities have the most ai specialist jobs?
Seattle, Bellevue, and Washington State have the most ai specialist openings in Washington right now. Seattle and Bellevue drive the bulk of listings because major cloud and software headquarters are based there, while Redmond and Kirkland generate steady demand from Microsoft's campus network and the cluster of AI-focused startups and contractors that have grown around it.
Are there remote ai specialist jobs in Washington?
Yes, and more than most fields. About 67% of ai specialist openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of the work involves writing code, training models, and reviewing data rather than being physically on site. Research and model development roles tend to offer the most flexibility, while roles tied to classified defense contracts or lab hardware typically require in-person presence.
How can I get hired as a ai specialist in Washington with little or no experience?
The most realistic entry path is landing a junior data scientist, machine learning engineer, or AI research intern role at one of Washington's major technology employers. Microsoft, Amazon, and Boeing all run structured new-graduate and apprenticeship programs that accept candidates without professional experience when a strong project portfolio is present. Building and publishing open-source model projects, earning an Azure AI or AWS Machine Learning certification, and targeting these formal new-grad pipelines directly gives an early-career candidate the clearest foothold in the state.
Where can I find and apply to ai specialist jobs in Washington?
You can find and apply to ai specialist jobs in Washington on Migrate Mate, which lists current Washington openings updated regularly. Search the listings for roles that match your experience level and specialization, then apply directly to the ones that fit.
See All 21 AI Specialist Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Specialist Jobs