AI Solutions Engineer Jobs in Seattle, WA
AI Solutions Engineer jobs in Seattle, Washington are concentrated in South Lake Union, the Denny Triangle, and Bellevue's tech corridor, with strong demand across cloud computing, enterprise software, and healthcare technology. Employers hiring right now include Amazon Web Services, Amazon, and Google. See the openings below and apply to the ones that match your experience.
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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 Seattle
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Find AI Solutions Engineer JobsAI Solutions Engineer Job Market in Seattle
Who's Hiring
- Amazon Web Services18
- Amazon10
- Google2
- Anduril2
- CAST AI2
AI Solutions Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a ai solutions engineer job in Seattle?
Focus your search on South Lake Union, the Denny Triangle, and Bellevue, where cloud, enterprise software, and healthcare technology employers concentrate their AI hiring. Hands-on experience with large language models, cloud platforms, and solution architecture translates directly to what Seattle employers want. Candidates who can demonstrate customer-facing technical consulting alongside engineering depth stand out in this market.
Which companies hire ai solutions engineers in Seattle?
Companies currently hiring ai solutions engineers in Seattle include Amazon Web Services, Amazon, and Google, per current listings on Migrate Mate as of November 2026. Seattle's hiring base is especially deep among hyperscale cloud providers, enterprise software firms, and health tech companies that have built substantial AI and machine learning practices locally.
Are there remote ai solutions engineer jobs in Seattle?
Yes, though availability depends on the role: ai solutions engineer positions with heavy client engagement or lab work tend to be on-site, while architecture, design, and advisory work are more commonly remote. About 75% of ai solutions engineer openings tied to Seattle are remote or hybrid as of November 2026. Solution design and pre-sales engineering work is where Seattle employers most often allow full or partial remote arrangements.
How can I get a ai solutions engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through a junior technical sales engineer or associate cloud solutions role at one of the city's many mid-size software companies or cloud consultancies in South Lake Union or Bellevue. Seattle-area coding bootcamps and university programs at the University of Washington feed directly into these pipelines. Building a portfolio around a specific AI framework or cloud platform gives local employers a concrete reason to take a chance on an early-career candidate.
Related Jobs in Washington
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