AI Engineer Visa Sponsorship Jobs in California
California is the top state for AI engineer visa sponsorship, anchored by Silicon Valley giants like Google, Meta, Apple, and OpenAI alongside a deep bench of AI-focused startups in San Francisco, San Jose, and Los Angeles. Demand for AI engineers with machine learning, LLM, and MLOps expertise drives consistent H-1B visa and O-1 visa filings across the state.
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About Gap Inc.
At Gap Inc., we create culture as much as we create clothes. Our ambition is to become a high-performing house of iconic American brands that shape culture.
Our portfolio—Old Navy, Gap, Banana Republic, and Athleta—each brings a distinct point of view to how we show up in the world and serve our customers.
Old Navy democratizes style with quality and value for all. Gap champions originality through essential pieces that celebrate individuality. Banana Republic is rooted in a spirit of discovery, creating modern pieces inspired by craftsmanship and travel. Athleta champions the Power of She through confidence, strength, and movement.
We’re driven by a shared purpose: to bridge gaps—between people, perspectives, and possibilities—to create a better world.
We’re building a team that performs at a high level—people who think boldly, take ownership, and turn ideas into impact. If you’re ready to learn fast and help shape what’s next, you’ll fit right in.
About the role
We are seeking a Principal to own Enterprise Strategy within the Office of AI. This is a strategy role in the truest sense: our view of where AI is going, and what Gap Inc. should do about it, will only be as good as the person forming it. The frontier moves every few weeks, most of what is published is noise, and the difference between a genuine capability shift and a release note is a judgment call few people make well. You will make that call, write down the reasoning, and take it to the executives who act on it. You'll then own the decisions that follow. What we standardize on and what we retire, where our partners are heading and what we should be asking them for, what our tooling costs as consumption scales, and whether we are buying capability or licenses nobody uses. You'll influence the policy, standards and governed context the organization needs before the demand arrives rather than after it, so that teams have an answer instead of a queue. You'll also serve as the AI partner to our enterprise functions, including Finance, HR, Legal and GTS, because a strategy nobody can operationalize is not a strategy. That means understanding how those teams actually work, identifying where AI changes it, connecting the tooling to the systems they already run on, and proving the capability rather than describing it. This role suits someone rigorous, who can make an argument land in writing and in the room, who is technical enough to build the thing that settles it, and who is comfortable being the person whose analysis the company bets on.
Who you are
- A strategist with 8+ years in technology strategy, research, investing, consulting, platform ownership or an equivalent discipline, with at least 3 years spent closely tracking AI
- Someone who holds a genuine thesis on where the technology is going, can defend it under pressure, and will change it when the evidence moves
- An exceptional communicator in both writing and presentation. Much of your influence will come through memos and through the decks you put in front of executives, and how well you make the case will decide whether anything happens
- A rigorous thinker who reasons under uncertainty, states assumptions plainly, and is honest about what is still unknown
- A hands-on builder who has personally created working agents, skills and shared context, and who will build a prototype to settle a question rather than keep debating it
- A credible partner to frontier labs and platform vendors, able to hold a substantive conversation about roadmap and influence what we are offered
- Commercially sharp, able to model what tooling costs at scale across seats, consumption and token spend, and to manage that cost deliberately rather than discover it
- A trusted advisor to senior executives, able to translate a frontier development into the decision it implies for them this quarter
- A collaborative partner to enterprise functions such as Finance, HR, Legal and GTS, able to understand how their work runs and where the opportunity actually sits
- A thought leader who teaches. You explain what new capability actually means, show people how to think about where it applies to their work, and make the organization smarter about AI rather than more reliant on you
- A natural collaborator who works shoulder to shoulder with our domain leads, our platform and process teams, and our partners in Security, Legal and Sourcing
- Someone who thrives in ambiguity and is comfortable making a call before the picture is complete
Competencies
- Forming, defending and revising a point of view on AI capability, adoption and market direction
- Exceptional written and visual communication, including persuasive long-form memos and executive-ready presentations
- Evaluation of models, platforms and emerging capability, and translation into enterprise consequence
- Enterprise tooling strategy, covering standardization, licensing, entitlement and migration
- Cost and consumption modelling, including token economics and platform trade-offs
- Partnership and commercial engagement with frontier labs and major platform vendors
- Hands-on fluency with large language model tooling, including projects, skills, connectors, MCP and agent patterns
- Thought leadership and collaboration across the organization, teaching what the technology can do and how to think about applying it
Location Area
2F (San Francisco)
This position offers the opportunity to form a company's view of a technology that is still being invented, and then to act on it. You will decide what Gap Inc. believes about AI, what we bet on, what we buy, and what our enterprise teams are able to do with it before our competitors get there.
Salary Range: $203,800.00 - $265,000.00
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.
Benefits at Gap Inc.
- Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
- One of the most competitive Paid Time Off plans in the industry.*
- Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
- Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
- Employee stock purchase plan.*
- Medical, dental, vision and life insurance.*
- See more of the benefits we offer.
*For eligible employees
Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.
AI Engineer Job Roles in California
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Search AI Engineer Jobs in CaliforniaAI Engineer Jobs in California: Frequently Asked Questions
Which companies sponsor visas for AI engineers in California?
The highest volumes of H-1B sponsorship for AI engineer roles in California come from Google, Meta, Apple, Amazon, Microsoft, and Nvidia, all of which have major California engineering offices. Startups like Anthropic, OpenAI, and Scale AI also sponsor regularly. DOL LCA disclosure data confirms consistent AI-related filings from both large tech employers and well-funded AI-native companies headquartered in the Bay Area.
Which visa types are most common for AI engineer roles in California?
The H-1B is the most common visa for AI engineers in California, as the role typically requires at least a bachelor's degree in computer science, machine learning, or a related field, meeting the specialty occupation standard. Candidates with an exceptional publication record, patents, or competitive awards may qualify for the O-1A. Australians can also pursue the E-3 visa, which has no lottery and is processed faster than the H-1B.
Which cities in California have the most AI engineer sponsorship jobs?
San Francisco and the broader Bay Area, including San Jose, Mountain View, and Menlo Park, account for the largest share of AI engineer sponsorship activity in California. Los Angeles is a growing secondary market, particularly for AI roles tied to entertainment tech, autonomous vehicles, and applied research. San Diego has a smaller but active cluster around biotech AI and defense-adjacent machine learning positions.
How to find ai engineer visa sponsorship jobs in California?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse AI engineer roles in California without sorting through positions that won't support international candidates. The platform focuses on roles where employers have a documented history of H-1B or other work visa filings, which is particularly useful in California where sponsorship willingness varies significantly even among large tech employers.
Are there any California-specific factors AI engineers should know about visa sponsorship?
California's prevailing wage requirements under the H-1B program are among the highest in the country, reflecting the state's elevated cost of living and competitive tech market. Employers must certify on the Labor Condition Application that the offered wage meets or exceeds the prevailing wage for the specific role and location. Many AI engineers entering California also come through university pipelines at UC Berkeley, Stanford, and UCLA, which have established OPT-to-H-1B transitions with major tech employers.
What is the prevailing wage for sponsored ai engineer jobs in California?
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.