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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DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
A day in the life
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.
BASIC QUALIFICATIONS
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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, BELLEVUE - 136,000.00 - 184,000.00 USD annually
DESCRIPTION
The Artificial General Intelligence (AGI) team is seeking a dedicated, skilled, and innovative Applied Scientist with a robust background in machine learning, statistics, quality assurance, auditing methodologies, and automated evaluation systems to ensure the highest standards of data quality, to build industry-leading technology with Large Language Models (LLMs) and multimodal systems.
Key job responsibilities
As part of the AGI team, an Applied Scientist will collaborate closely with core scientist team developing Amazon Nova models. They will lead the development of comprehensive quality strategies and auditing frameworks that safeguard the integrity of data collection workflows. This includes designing auditing strategies with detailed SOPs, quality metrics, and sampling methodologies that help Nova improve performances on benchmarks. The Applied Scientist will perform expert-level manual audits, conduct meta-audits to evaluate auditor performance, and provide targeted coaching to uplift overall quality capabilities. A critical aspect of this role involves developing and maintaining LLM-as-a-Judge systems, including designing judge architectures, creating evaluation rubrics, and building machine learning models for automated quality assessment. The Applied Scientist will also set up the configuration of data collection workflows and communicate quality feedback to stakeholders. An Applied Scientist will also have a direct impact on enhancing customer experiences through high-quality training and evaluation data that powers state-of-the-art LLM products and services.
A day in the life
An Applied Scientist with the AGI team will support quality solution design, conduct root cause analysis on data quality issues, research new auditing methodologies, and find innovative ways of optimizing data quality while setting examples for the team on quality assurance best practices and standards. Besides theoretical analysis and quality framework development, an Applied Scientist will also work closely with talented engineers, domain experts, and vendor teams to put quality strategies and automated judging systems into practice.
BASIC QUALIFICATIONS
- Master's degree in computer science, mathematics, statistics, machine learning or equivalent quantitative field
- Experience programming in Java, C++, Python or related language
- Experience with SQL and an RDBMS (e.g., Oracle) or Data Warehouse
PREFERRED QUALIFICATIONS
- Experience implementing algorithms using both toolkits and self-developed code
- Have publications at top-tier peer-reviewed conferences or journals
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, BELLEVUE - 136,000.00 - 184,000.00 USD annually
See All 12 AI Consultant Jobs in Washington
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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
Top Industries Hiring
- Technology & Software
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 Amazon, Tiger Analytics, and HP, based on current listings on Migrate Mate as of September 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 Vancouver 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 33% of ai consultant openings tied to Washington are remote or hybrid as of September 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 12 AI Consultant Jobs in Washington
Find roles in Washington that match your experience and apply in just a few clicks.
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