AI Consultant Jobs in Washington
AI Consultant jobs in Washington are among the most active in the country, with demand concentrated in enterprise technology, cloud infrastructure, aerospace, and government IT across a seniority range from junior analyst to principal consultant. Seattle anchors the market, with Bellevue and Redmond close behind, and major employers including Microsoft, Amazon, and Boeing sustaining consistent hiring for roles in machine learning strategy, generative AI implementation, and data platform consulting. The most sought-after specializations in Washington listings are large language model deployment, AI governance, and MLOps integration. Find a role that fits below and apply directly.
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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 13 AI Consultant Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
Find AI Consultant JobsAI Consultant Jobs by City in Washington
Where Washington roles are concentrated, by current openings.
AI Consultant 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 consultant jobs across Washington.
- Bachelor's or master's degree in computer science, data science, or a related field
- Demonstrated experience designing or deploying machine learning or generative AI solutions
- Proficiency with cloud AI platforms such as Azure, AWS, or Google Cloud
- Ability to translate business requirements into technical AI architecture and roadmaps
- Strong communication skills for presenting findings to non-technical executive stakeholders
- Familiarity with AI governance frameworks, responsible AI principles, and model risk management
AI Consultant Jobs in Washington: Frequently Asked Questions
How do you become a ai consultant in Washington?
Washington does not require a state-issued license to work as an ai consultant, so the path runs through education and credentials. Most employers expect at least a bachelor's degree in computer science, data science, or engineering, with a master's degree preferred at senior levels. Vendor certifications from Microsoft, AWS, or Google Cloud carry real weight with Washington hiring managers, and building a portfolio of documented AI projects strengthens candidacy significantly for those entering from adjacent technical roles.
How much do AI consultants make in Washington?
AI consultants in Washington earn a median of about $163,350 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $79,930 for the lowest 10% to over $220,040 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire ai consultants in Washington?
Employers hiring ai consultants in Washington right now include Deloitte, Google, and Amazon, based on current listings on Migrate Mate as of November 2026. Washington's concentration of global technology headquarters and aerospace firms means demand is distributed across both product companies building internal AI capability and large consulting practices serving those enterprises.
Which Washington cities have the most ai consultant jobs?
Seattle, Bellevue, and Bothell account for the largest share of ai consultant openings in Washington. Seattle leads because it is home to the headquarters and major offices of the technology and aerospace employers that drive the most AI consulting demand, while Bellevue and Redmond draw significant volume from Microsoft's campus and the dense cluster of enterprise technology firms that have established operations in the Eastside corridor.
Are there remote ai consultant jobs in Washington?
Yes, and more than most fields. AI consulting is largely desk-based and analytically oriented, making it well suited to remote and hybrid arrangements. About 100% of ai consultant openings tied to Washington are remote or hybrid as of November 2026, reflecting how many project engagements can be delivered without a fixed on-site presence. Strategy, governance, and model evaluation work tends to be the most remote-compatible, while hands-on implementation and client-facing workshops are more likely to require in-person availability.
How can I get hired as a ai consultant in Washington with little or no experience?
The most realistic entry path is moving from a closely adjacent technical role such as data analyst, software engineer, or business intelligence developer, where you can document AI-adjacent project work. Microsoft and Amazon both run associate and rotational programs in the Seattle area that place early-career candidates into AI and cloud teams. Building a public portfolio of machine learning projects and earning a foundational cloud certification from Azure or AWS demonstrates applied capability to Washington hiring managers evaluating candidates without a formal consulting background.
Where can I find and apply to ai consultant jobs in Washington?
You can find and apply to ai consultant jobs in Washington on Migrate Mate, which lists current Washington openings. Search the available roles, find the ones that fit your background and location, and apply directly to the employers posting them.
See All 13 AI Consultant Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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