Artificial Intelligence Scientist Visa Sponsorship Jobs in Washington
Washington is one of the most active states for artificial intelligence scientist roles, with major employers like Microsoft, Amazon, Apple, and Google operating research and engineering hubs across the Seattle metro and Redmond corridor. The University of Washington's AI research programs also feed a steady pipeline of international talent into the region's sponsorship ecosystem.
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Get Access To All JobsINTRODUCTION
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend.
ROLE AND RESPONSIBILITIES
AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
- Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling.
- Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis.
- Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale.
- Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility.
- Contribute to open-source and industry best practices in monitoring and distributed systems monitoring.
- Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management.
- Partner with Finance, Product and Engineering teams to turn usage, cost and utilization insights into landed operational change.
BASIC QUALIFICATIONS
- 7+ years of industry experience designing, building and supporting large scale systems in production.
- Experience with cost optimization and efficiency work on systems built on large private clouds or public cloud providers.
- Deep system and architectural analysis experience to identify actionable performance and efficiency insights.
- History of delivering large cross functional projects with measurable impact.
- Proficiency in programming languages such as Go, Python or Java.
- Excellent problem-solving skills and ability to troubleshoot complex issues in a production environment.
- Strong communication skills and ability to collaborate effectively in a team environment.
- BS / MS in Computer Science, Engineering or related fields.
- Prior background building AI agents and working with LLMs.
PREFERRED QUALIFICATIONS
- Experience developing or using observability infrastructure such as OpenTelemetry, Prometheus etc.
- Working knowledge of cloud infrastructure and its billing models — AWS, Azure, or GCP: compute instance families, storage tiers, networking and data-transfer charges, reserved vs. on-demand, and how billing/CUR exports are structured.
- FinOps experience: cost attribution, chargeback, showback, or unit-economics programs.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
COMPENSATION
- The estimated base salary range for this role is $200,000 - $287,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
INTRODUCTION
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Snowflake runs large scale cloud infrastructure to deliver its own service — production and internal deployments, Kubernetes fleets, CI/CD, etc. Our cloud spend is in billions of dollars per year. The Cloud Efficiency team builds a unified, self-serve cloud efficiency platform along with AI skills and agents that makes spend observable, attributable, governable while driving insights and optimization of our cloud spend.
ROLE AND RESPONSIBILITIES
AS A SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL:
- Design, develop, and maintain scalable platform for resource ownership registry, usage attribution, utilization measurement, and cost modeling.
- Build AI agents, tools and automation to enhance system monitoring, alerting, and root cause analysis.
- Improve and optimize data ingestion, storage, and query efficiency for cloud utilization, cost and efficiency data at scale.
- Collaborate with teams across Snowflake to understand attribution and observability needs and implement solutions that improve operational visibility.
- Contribute to open-source and industry best practices in monitoring and distributed systems monitoring.
- Ensure high availability, reliability, and performance of team-managed platforms by participating in on-call rotations and incident management.
- Partner with Finance, Product and Engineering teams to turn usage, cost and utilization insights into landed operational change.
BASIC QUALIFICATIONS
- 7+ years of industry experience designing, building and supporting large scale systems in production.
- Experience with cost optimization and efficiency work on systems built on large private clouds or public cloud providers.
- Deep system and architectural analysis experience to identify actionable performance and efficiency insights.
- History of delivering large cross functional projects with measurable impact.
- Proficiency in programming languages such as Go, Python or Java.
- Excellent problem-solving skills and ability to troubleshoot complex issues in a production environment.
- Strong communication skills and ability to collaborate effectively in a team environment.
- BS / MS in Computer Science, Engineering or related fields.
- Prior background building AI agents and working with LLMs.
PREFERRED QUALIFICATIONS
- Experience developing or using observability infrastructure such as OpenTelemetry, Prometheus etc.
- Working knowledge of cloud infrastructure and its billing models — AWS, Azure, or GCP: compute instance families, storage tiers, networking and data-transfer charges, reserved vs. on-demand, and how billing/CUR exports are structured.
- FinOps experience: cost attribution, chargeback, showback, or unit-economics programs.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
COMPENSATION
- The estimated base salary range for this role is $200,000 - $287,500.
- Additionally, this role is eligible to participate in Snowflake’s bonus and equity plan.
The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
Artificial Intelligence Scientist Job Roles in Washington
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Search Artificial Intelligence Scientist Jobs in WashingtonArtificial Intelligence Scientist Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for artificial intelligence scientists in Washington?
Microsoft, Amazon, Apple, Google, and Meta all maintain significant AI research and applied science teams in Washington and have established records of sponsoring work visas for artificial intelligence scientists. Mid-sized companies like Tableau, Expedia, and F5 Networks also sponsor in this space. Washington's density of technology employers means sponsoring international AI talent is a routine part of hiring at many firms.
Which visa types are most common for artificial intelligence scientist roles in Washington?
The H-1B visa is the most common visa category for artificial intelligence scientists in Washington, as the role typically requires at least a bachelor's degree in computer science, statistics, or a related field, satisfying the specialty occupation standard. Candidates with exceptional publication records or industry recognition may also qualify for the O-1A. Australian citizens specifically have access to the E-3 visa, which has no lottery and is available year-round.
Which cities in Washington have the most artificial intelligence scientist sponsorship jobs?
The Seattle and Redmond metro area accounts for the overwhelming majority of artificial intelligence scientist sponsorship jobs in Washington. Seattle proper hosts major tech campuses and a growing number of AI-focused startups, while Redmond is home to Microsoft's headquarters and several dedicated AI research teams. Bellevue and Kirkland also have notable concentrations of technology employers that sponsor in this category.
How to find artificial intelligence scientist visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse artificial intelligence scientist roles in Washington without manually vetting each employer. Because sponsorship willingness varies significantly even among large Washington tech companies, using a platform built around sponsorship data saves time and reduces uncertainty during your search.
Are there any Washington-specific considerations for artificial intelligence scientists pursuing visa sponsorship?
Washington's concentration of large technology employers means prevailing wage requirements under the H-1B Labor Condition Application are benchmarked against a competitive regional market, so offered compensation is generally expected to reflect that. The University of Washington's Paul G. Allen School of Computer Science and Engineering is a well-recognized feeder for AI research roles locally, and international graduates from UW frequently pursue sponsorship through employers they connected with during internships or research collaborations.
What is the prevailing wage for sponsored artificial intelligence scientist jobs in Washington?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.