AI Engineer Jobs in Seattle, WA
AI Engineer jobs in Seattle, Washington are concentrated in South Lake Union, the Eastside corridor toward Bellevue, and the Capitol Hill tech hub, with strong demand across cloud infrastructure, healthcare AI, and enterprise software. Top employers hiring right now include Amazon Web Services, Amazon, and Meta. Scan the live roles below and apply to whichever ones fit.
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Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- 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: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience managing technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
The Forward Deployed Engineer (FDE) for Google Maps Platform (GMP) is a specialized engineering role that sits at the intersection of product development and customer implementation. Unlike traditional engineers who focus primarily on internal product cycles, FDEs work "at the front lines," embedding themselves within the technical ecosystems of our most complex partners. Your mission is to ensure that Google's geospatial technology solves real-world business problems at scale.
By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex Geospatial AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Maps Platforms future product roadmap.
The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
Applicants in San Francisco: Qualified applications with arrest or conviction records will be considered for employment in accordance with the San Francisco Fair Chance Ordinance for Employers and the California Fair Chance Act.
In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
- 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: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA; San Francisco, CA, USA.
Minimum qualifications:
- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience managing technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
Preferred qualifications:
- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
About the job
As a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms or product partnerships.
You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.
The Forward Deployed Engineer (FDE) for Google Maps Platform (GMP) is a specialized engineering role that sits at the intersection of product development and customer implementation. Unlike traditional engineers who focus primarily on internal product cycles, FDEs work "at the front lines," embedding themselves within the technical ecosystems of our most complex partners. Your mission is to ensure that Google's geospatial technology solves real-world business problems at scale.
By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment of complex Geospatial AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Maps Platforms future product roadmap.
The Geo team is focused on building the most accurate, comprehensive, and useful maps for our users, through products like Maps, Earth, Street View, Google Maps Platform, and more. Every month, more than a billion people rely on Maps services to explore the world and navigate their daily lives.
The Geo team also enables developers to use the power of Google Maps platforms to enhance their apps and websites. As they plot a course for the future of mapping, they are solving complex computer science problems, designing beautiful and intuitive product experiences, and improving our understanding of the real world.
US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.
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Who's Hiring
- Amazon Web Services26
- Amazon24
- Meta8
- Google6
- Remitly6
Top Industries Hiring
- Technology & Software11
- Distribution & Wholesale3
- Retail2
- Insurance2
- Science & Research2
AI Engineer Jobs in Seattle: Frequently Asked Questions
How do I get a ai engineer job in Seattle?
Focus your search on South Lake Union and the Eastside, where cloud platforms, healthcare technology, and enterprise software companies concentrate the most ai engineer hiring. Candidates with hands-on experience in large language models, MLOps pipelines, or retrieval-augmented generation stand out in this market. Contributing to open-source projects and building a public portfolio on GitHub gives Seattle hiring managers something concrete to evaluate before a first call.
Which companies hire ai engineers in Seattle?
Seattle ai engineer roles are posted by Amazon Web Services, Amazon, and Meta and others right now, based on current listings on Migrate Mate as of November 2026. Seattle's mix of global tech headquarters, mid-size SaaS companies, and well-funded healthtech startups means openings range from large platform teams to small applied-AI product squads.
Are there remote ai engineer jobs in Seattle?
Yes, ai engineering is one of the more remote-friendly technical disciplines because the core work centers on code, model training, and data pipelines rather than physical equipment. About 76% of ai engineer openings tied to Seattle are remote or hybrid as of November 2026, reflecting how broadly Seattle-based tech employers have embraced flexible arrangements. Model evaluation, prompt engineering, and MLOps roles tend to be the most fully remote within the discipline.
How can I get a ai engineer job in Seattle with little or no experience?
The most realistic entry path in Seattle is through a junior machine learning or data engineering role at one of the city's mid-size SaaS or healthtech companies, which hire earlier than large platform teams and offer faster ramp time. Bootcamp graduates and recent computer science alumni often start on data annotation, model evaluation, or ML platform support teams before moving into core AI engineering. Building a project demonstrating a fine-tuned open-source model and presenting it at a Seattle AI or MLOps meetup gives entry-level candidates a concrete conversation starter with local hiring managers.
Which industries hire the most ai engineers in Seattle?
Most ai engineer openings in Seattle sit in Technology & Software, Distribution & Wholesale, and Retail, per current listings on Migrate Mate as of November 2026. Seattle's position as a cloud computing hub, combined with a dense cluster of healthcare and life sciences organizations, creates sustained demand for applied AI talent well beyond the traditional software sector.
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