AI Jobs in Washington
AI jobs in Washington are concentrated in technology, cloud computing, and defense contracting, with a market that ranks among the most active in the country for artificial intelligence roles at every level from early-career engineer to principal researcher. Seattle and Bellevue anchor the bulk of openings, with a secondary cluster in Redmond, where Microsoft, Amazon, and Boeing maintain deep and sustained AI hiring operations. The most in-demand specialties right now are machine learning engineering, natural language processing, and AI infrastructure and MLOps. Scan the live roles below and apply to whichever ones fit.
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- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
Experience working with and analyzing data, and managing multiple projects. -
Preferred qualifications:
- Master's degree or PhD.
- Experience with R, SQL, spreadsheets, or similar analytics tools.
- Experience working with product and engineering teams.
- Experience with Infrastructure, Cloud, and Enterprise/B2B businesses.
- Excellent written and verbal communication skills.
About the job
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
The Artificial Intelligence and Infrastructure (AI2) Organization is responsible for delivering Compute, platforms and tools powering Google's AI-first products, research, and cloud at scale, performance, reliability and efficiency years ahead of what is possible anywhere else in the world. The organization is foundational to maintaining Alphabet’s leadership in Artificial Intelligence. The team works on some of the most exciting, leading edge, and complex technologies in the world on the planet.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify problems and issues across the organization and define/lead programs and processes to solve them.
- Influence team members and executive management to act and drive projects to completion.
- Establish and lead operating processes and tools for effectively managing the organization and achieving goals.
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Seattle, WA, USA.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in management consulting, product management and strategy, or analytics in a technology company.
Experience working with and analyzing data, and managing multiple projects. -
Preferred qualifications:
- Master's degree or PhD.
- Experience with R, SQL, spreadsheets, or similar analytics tools.
- Experience working with product and engineering teams.
- Experience with Infrastructure, Cloud, and Enterprise/B2B businesses.
- Excellent written and verbal communication skills.
About the job
Product and Business Strategy Leaders bring together teams across Google’s functions to help products execute optimally. Our team pushes Google to scale at key points that refine our products and infrastructure by executing efficiently, bringing solid business sense and sound judgment, and working effectively across organizational lines.
Our roles often include components of strategy (e.g. analyzing and understanding new trends in the industry, building business plans), operations (e.g. running the cadence of organizations, connecting the operating lines between our functions), and communications. Our team partners with senior leadership to run important functions that cross-cut our existing organizations and deliver high impact projects. We help Engineers, PMs, UX, and all of our other functions to build amazing products that delight our users, and then get those products into their hands.
The Artificial Intelligence and Infrastructure (AI2) Organization is responsible for delivering Compute, platforms and tools powering Google's AI-first products, research, and cloud at scale, performance, reliability and efficiency years ahead of what is possible anywhere else in the world. The organization is foundational to maintaining Alphabet’s leadership in Artificial Intelligence. The team works on some of the most exciting, leading edge, and complex technologies in the world on the planet.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.US: $150000 - $217000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Identify problems and issues across the organization and define/lead programs and processes to solve them.
- Influence team members and executive management to act and drive projects to completion.
- Establish and lead operating processes and tools for effectively managing the organization and achieving goals.
See All 7 AI Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI JobsAI Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Job Market in Washington
A snapshot from current Washington openings, updated as new roles post.
Who's Hiring
What Washington Employers Look For
The qualifications that appear most often in AI jobs across Washington.
- Bachelor's or master's degree in computer science, machine learning, or a related technical field
- Hands-on experience building and deploying machine learning models in production environments
- Proficiency in Python and common ML frameworks such as PyTorch or TensorFlow
- Familiarity with cloud platforms, particularly Azure, AWS, or Google Cloud, for model training
- Experience with data pipelines, feature engineering, and large-scale distributed computing systems
- Strong communication skills to present model findings and tradeoffs to non-technical stakeholders
AI Jobs in Washington: Frequently Asked Questions
How do you become a ai in Washington?
AI roles in Washington do not require a state-issued license or registration. The standard path is a bachelor's degree in computer science, data science, or a closely related field, though many employers in Seattle and Bellevue prefer or require a master's degree for research-track positions. Building a portfolio of deployed projects or published work on platforms like GitHub strengthens candidacy significantly, and several Washington universities offer graduate programs with direct ties to local tech employers.
Which companies hire ais in Washington?
Washington ai roles are posted by Amazon, Google, and Pfizer and others right now, based on current listings on Migrate Mate as of November 2026. Washington's concentration of global tech headquarters and major defense contractors means AI hiring here is unusually broad, covering consumer products, enterprise cloud services, and national security applications.
Which Washington cities have the most ai jobs?
Bellevue, Bothell, and Pullman have the most ai openings in Washington. Seattle leads because it is home to Amazon's headquarters and a dense cluster of tech companies, Bellevue has grown rapidly as Microsoft and a wave of mid-size AI startups have expanded their East Side campuses, and Redmond is driven almost entirely by Microsoft's core AI and cloud research divisions headquartered there.
Are there remote ai jobs in Washington?
Yes, and more than most fields. About 100% of ai openings tied to Washington are remote or hybrid as of November 2026, reflecting how much of the work is done on cloud infrastructure rather than on-site hardware. Research, modeling, and data engineering roles are the most consistently remote, while roles involving proprietary hardware, lab environments, or government clearance typically require in-person presence.
How can I get hired as a ai in Washington with little or no experience?
The most realistic entry path is through a rotational new-grad program or associate engineer role at one of Washington's large tech employers, where structured mentorship and project ramp-up are built into the first year. Microsoft's Explore and full-time new-grad programs, Amazon's university hiring pipeline, and Boeing's early-career technical programs all bring in candidates with limited professional experience if they have strong academic projects or internship work. Adjacent roles in data analytics, software engineering, or research assistant positions at University of Washington or Washington State University labs are also common stepping stones that lead directly into AI teams.
Where can I find and apply to ai jobs in Washington?
You can find and apply to ai jobs in Washington on Migrate Mate, which lists current Washington openings updated in real time. Search the listings, find the roles that match your background and preferences, and apply directly to the ones that fit.
See All 7 AI Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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