AI Engineer Visa Sponsorship Jobs in Washington
Washington is one of the strongest states for AI engineer visa sponsorship, anchored by Microsoft and Amazon in the Seattle area, with growing demand from Meta, Google, and a wave of AI-focused startups in Bellevue and Redmond. The state's concentration of established tech employers makes it one of the more active markets for H-1B visa sponsorship in this field.
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Get Access To All Jobs<div class="content-intro"><p class="p1">Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint.</p>
<p class="p1">Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here.</p></div><p><strong>The Role</strong></p>
<p>We’re looking for an <strong>Applied AI Engineer</strong> to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI can be practically applied to solve real user problems.</p>
<p>You’ll collaborate across product, research, and engineering to design agents that reason, interact with environments and evolve through feedback. Ideal candidates bring curiosity, a love of ambiguous problems, and hands-on experience applying LLMs in production.</p>
<p><strong>What You'll Own</strong></p>
<ul>
<li>Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.</li>
<li>Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems.</li>
<li>Design modular frameworks for tools, memory, and evaluators to enable continuous learning and improvement of agents.</li>
<li>Develop data pipelines to collect, transform, and annotate real-world usage data for SFT and RL training.</li>
<li>Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.</li>
<li>Partner with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations.</li>
</ul>
<p><strong>What We're Looking For</strong></p>
<ul>
<li>4+ years of software engineering experience, with at least a year working directly on AI/ML-powered applications. </li>
<li>Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs). </li>
<li>Practical understanding of LLMs, prompt engineering and agentic architectures.</li>
<li>Experience building production systems that integrate external environments - code execution, browser automation or API orchestration.</li>
<li>High degree of ownership and comfort in experimental, fast-moving environments.</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents.</li>
<li>Exposure to customer-facing roles or user research for AI product development.</li>
<li>Background in reinforcement learning or data-centric AI approaches.</li>
</ul>
<p><strong>Compensation</strong></p>
<p>The salary range for this position is<strong> $130,000 – $220,000 annually</strong>. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs.<span data-ccp-props="{}"> </span></p><div class="content-conclusion"><p><strong>You'll thrive here if you...</strong></p>
<ul>
<li class="p1">Embrace AI as a core tool for problem-solving, creativity and scale.</li>
<li class="p1">Show a strong work ethic, high ownership and bias toward action.</li>
<li class="p1">Communicate with clarity and curiosity.</li>
<li class="p1">Thrive in fast-paced, hyper-growth environments; where building is always better than maintaining the status quo.</li>
</ul>
<p><strong>What we offer</strong></p>
<ul>
<li>Meaningful equity and competitive salary</li>
<li>Comprehensive health, dental and vision coverage</li>
<li>Fast-paced environment with autonomy and ownership</li>
<li>Real impact, zero bureaucracy</li>
<li>A front-row seat to building category-defining AI infrastructure</li>
</ul>
<p data-start="222" data-end="258"><strong data-start="222" data-end="258">AI Literacy & Interviewing Tools</strong></p>
<p data-start="260" data-end="805">As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on<em> </em>you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI.</p>
<p><strong>Privacy Policy</strong></p>
<p class="" data-start="220" data-end="662">By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our<span class="Apple-converted-space"> </span><a class="" href="https://www.gradial.ai/privacy" target="_new" data-start="355" data-end="403">Privacy Policy</a>. This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws.</p>
<p class="" data-start="664" data-end="818">If you have any questions about how your information is used, please refer to our<span class="Apple-converted-space"> </span><a class="" href="https://www.gradial.ai/privacy" target="_new" data-start="746" data-end="794">Privacy Policy</a><span class="Apple-converted-space"> </span>or contact us directly.</p>
<p class="" data-start="664" data-end="818">Applicants who require reasonable accommodation to participate in the application or interview process should contact us at careers@gradial.com to request assistance.</p></div>
<div class="content-intro"><p class="p1">Gradial helps marketers and creatives move from idea to execution faster. Our platform turns intent into action, automating website updates, design system migrations, and ongoing content optimization while preserving brand integrity across every touchpoint.</p>
<p class="p1">Backed by leading investors, we’re building software that adapts to the user, not the other way around. We move with urgency, operate with ownership, and solve hard problems from first principles. If you want to do ambitious work, take real responsibility, and help define the future of AI-native content operations, you’ll do your best work here.</p></div><p><strong>The Role</strong></p>
<p>We’re looking for an <strong>Applied AI Engineer</strong> to help build the next generation of agentic systems. This role combines deep software engineering skills with an experimental mindset around how AI can be practically applied to solve real user problems.</p>
<p>You’ll collaborate across product, research, and engineering to design agents that reason, interact with environments and evolve through feedback. Ideal candidates bring curiosity, a love of ambiguous problems, and hands-on experience applying LLMs in production.</p>
<p><strong>What You'll Own</strong></p>
<ul>
<li>Build autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs to complete complex content operations.</li>
<li>Evaluate model behavior in live environments and pioneer approaches for applying reinforcement learning to end-to-end agent systems.</li>
<li>Design modular frameworks for tools, memory, and evaluators to enable continuous learning and improvement of agents.</li>
<li>Develop data pipelines to collect, transform, and annotate real-world usage data for SFT and RL training.</li>
<li>Design and build proprietary agent libraries, prompting strategies and benchmarking frameworks.</li>
<li>Partner with customers and internal stakeholders to understand edge cases and align AI behaviors with user expectations.</li>
</ul>
<p><strong>What We're Looking For</strong></p>
<ul>
<li>4+ years of software engineering experience, with at least a year working directly on AI/ML-powered applications. </li>
<li>Strong fluency in AI tooling (e.g. OpenAI APIs, Anthropic APIs). </li>
<li>Practical understanding of LLMs, prompt engineering and agentic architectures.</li>
<li>Experience building production systems that integrate external environments - code execution, browser automation or API orchestration.</li>
<li>High degree of ownership and comfort in experimental, fast-moving environments.</li>
</ul>
<p><strong>Nice to Have</strong></p>
<ul>
<li>Familiarity with benchmarks like SWE-bench or evaluation strategies for tool-using agents.</li>
<li>Exposure to customer-facing roles or user research for AI product development.</li>
<li>Background in reinforcement learning or data-centric AI approaches.</li>
</ul>
<p><strong>Compensation</strong></p>
<p>The salary range for this position is<strong> $130,000 – $220,000 annually</strong>. Final compensation will be determined based on factors such as experience, skills, and qualifications. In addition to base salary, this role may be eligible for performance-based bonuses and equity awards. Gradial offers a comprehensive benefits package, including medical, dental & vision insurance, 401K retirement plan, paid time off, paid sick leave and other employee wellness programs.<span data-ccp-props="{}"> </span></p><div class="content-conclusion"><p><strong>You'll thrive here if you...</strong></p>
<ul>
<li class="p1">Embrace AI as a core tool for problem-solving, creativity and scale.</li>
<li class="p1">Show a strong work ethic, high ownership and bias toward action.</li>
<li class="p1">Communicate with clarity and curiosity.</li>
<li class="p1">Thrive in fast-paced, hyper-growth environments; where building is always better than maintaining the status quo.</li>
</ul>
<p><strong>What we offer</strong></p>
<ul>
<li>Meaningful equity and competitive salary</li>
<li>Comprehensive health, dental and vision coverage</li>
<li>Fast-paced environment with autonomy and ownership</li>
<li>Real impact, zero bureaucracy</li>
<li>A front-row seat to building category-defining AI infrastructure</li>
</ul>
<p data-start="222" data-end="258"><strong data-start="222" data-end="258">AI Literacy & Interviewing Tools</strong></p>
<p data-start="260" data-end="805">As an AI-first company, we prioritize AI literacy as a core competency in our hiring decisions. We’re excited by candidates who thoughtfully apply AI tools in their work, but during interviews we’re focused on<em> </em>you. This is your opportunity to show how you think, communicate, and solve problems. Over-reliance on AI-generated responses during the interview process (especially when it obscures your own voice) will result in disqualification. We want to understand your unique perspective and how you approach challenges, both with and without AI.</p>
<p><strong>Privacy Policy</strong></p>
<p class="" data-start="220" data-end="662">By submitting your application to Gradial, you acknowledge that any personal data you provide will be processed in accordance with our<span class="Apple-converted-space"> </span><a class="" href="https://www.gradial.ai/privacy" target="_new" data-start="355" data-end="403">Privacy Policy</a>. This includes the collection, use, and storage of your information for the purposes of evaluating your qualifications and communicating with you about your candidacy. We handle applicant data with care and in compliance with applicable data protection laws.</p>
<p class="" data-start="664" data-end="818">If you have any questions about how your information is used, please refer to our<span class="Apple-converted-space"> </span><a class="" href="https://www.gradial.ai/privacy" target="_new" data-start="746" data-end="794">Privacy Policy</a><span class="Apple-converted-space"> </span>or contact us directly.</p>
<p class="" data-start="664" data-end="818">Applicants who require reasonable accommodation to participate in the application or interview process should contact us at careers@gradial.com to request assistance.</p></div>
AI Engineer Job Roles in Washington
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Search AI Engineer Jobs in WashingtonAI Engineer Jobs in Washington: Frequently Asked Questions
Which companies sponsor visas for AI engineers in Washington?
Microsoft, Amazon, and Google are among the most active H-1B sponsors for AI engineer roles in Washington, consistently filing large numbers of petitions through the DOL's LCA disclosure data. Meta maintains a significant presence in the Seattle area and sponsors regularly. Beyond the large tech companies, AI-focused startups in Bellevue and Redmond have also entered the sponsorship market, though sponsorship practices vary by company size and hiring cycle.
Which visa types are most common for AI engineer roles in Washington?
The H-1B is by far the most common visa for AI engineers in Washington, as the role typically qualifies as a specialty occupation requiring at least a bachelor's degree in computer science, machine learning, or a related field. Applicants with extraordinary ability or national-level recognition may pursue the O-1A. Australian citizens have access to the E-3 visa, which functions similarly to the H-1B but without the lottery. Canadian and Mexican nationals may qualify under the TN visa in certain engineering categories.
How to find ai engineer visa sponsorship jobs in Washington?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to identify AI engineer openings in Washington where employers are actively willing to sponsor. Rather than sifting through general job postings, you can search directly for roles that match your visa situation. Washington's tech corridor, especially the Seattle-to-Redmond stretch, generates a consistent volume of AI engineering postings with sponsorship attached.
Which cities in Washington have the most AI engineer sponsorship jobs?
Seattle accounts for the largest share of AI engineer sponsorship activity in Washington, driven by Amazon's headquarters and major offices from Google, Meta, and other large tech employers. Redmond is Microsoft's global headquarters and a significant source of AI engineering roles. Bellevue has grown as a secondary tech hub with a notable startup presence. Outside the Puget Sound region, AI engineering sponsorship opportunities are considerably more limited.
Are there any state-specific considerations for AI engineers seeking sponsorship in Washington?
Washington has no state income tax, which affects how prevailing wage compliance is calculated in context, though DOL prevailing wage requirements apply uniformly at the federal level. The University of Washington's Paul G. Allen School of Computer Science & Engineering produces a strong local pipeline of AI and ML talent, and many UW graduates on OPT or STEM OPT transition into sponsored roles with Washington-based employers. Competition for H-1B sponsorship roles in the Seattle metro is high given the concentration of qualified applicants in the region.
What is the prevailing wage for sponsored ai engineer 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.