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 and O-1 filings across the state.
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Get Access To All JobsINTRODUCTION
AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. At AppZen, we value candidates who are actively using AI tools to enhance productivity, automate repetitive tasks, and solve problems more efficiently. Across all roles, we are looking for team members who leverage AI in meaningful ways to drive impact in their work.
ROLE AND RESPONSIBILITIES
We are looking for an AI Engineer to help build and scale our next-generation AI platform, with a strong focus on agentic systems. In this role, you’ll design and develop intelligent agents powered by LLMs—leveraging tool calling, orchestration frameworks, and advanced context management to enable reasoning, planning, and autonomous decision-making across complex workflows. You’ll work hands-on with modern agentic stacks (e.g., LangGraph, Autogen), asynchronous and streaming architectures, and production-grade observability to bring scalable, real-world AI systems to life. If you’re passionate about pushing the boundaries of agentic AI and building systems that operate reliably in production, AppZen offers a high-impact environment to do just that.
BASIC QUALIFICATIONS
- Experience working on Agentic systems using LLMs, tool calling, model context protocol, tracing observability tools.
- Familiarity with Agent orchestration frameworks such as LangGraph, Autogen, or others.
- Must be a power user of Agentic coding tools like Claude Code, Cursor, Codex.
- Deep understanding of working on asynchronous and streaming system architectures for chat bots and asynchronous agents. Familiarity with tools such as Temporal, and either Python or GO programming languages.
- Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques.
- Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations.
- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
- Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful.
- Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
- BS/MS or equivalent experience in Computer Science, Engineering, Machine Learning, or other relevant technical field.
- Must have 5+ years of industry experience.
PREFERRED QUALIFICATIONS
- Familiarity with Data engineering concepts like data warehouses, streaming data. Specifics like Redshift or Spark are needed.
- Infrastructure engineering and/or DevOps knowledge on systems such as Kubernetes, AWS.
INTRODUCTION
AppZen is the leader in autonomous spend-to-pay software. Its patented artificial intelligence accurately and efficiently processes information from thousands of data sources so that organizations can better understand enterprise spend at scale to make smarter business decisions. It seamlessly integrates with existing accounts payable, expense, and card workflows to read, understand, and make real-time decisions based on your unique spend profile, leading to faster processing times and fewer instances of fraud or wasteful spend. Global enterprises, including one-third of the Fortune 500, use AppZen’s invoice, expense, and card transaction solutions to replace manual finance processes and accelerate the speed and agility of their businesses. At AppZen, we value candidates who are actively using AI tools to enhance productivity, automate repetitive tasks, and solve problems more efficiently. Across all roles, we are looking for team members who leverage AI in meaningful ways to drive impact in their work.
ROLE AND RESPONSIBILITIES
We are looking for an AI Engineer to help build and scale our next-generation AI platform, with a strong focus on agentic systems. In this role, you’ll design and develop intelligent agents powered by LLMs—leveraging tool calling, orchestration frameworks, and advanced context management to enable reasoning, planning, and autonomous decision-making across complex workflows. You’ll work hands-on with modern agentic stacks (e.g., LangGraph, Autogen), asynchronous and streaming architectures, and production-grade observability to bring scalable, real-world AI systems to life. If you’re passionate about pushing the boundaries of agentic AI and building systems that operate reliably in production, AppZen offers a high-impact environment to do just that.
BASIC QUALIFICATIONS
- Experience working on Agentic systems using LLMs, tool calling, model context protocol, tracing observability tools.
- Familiarity with Agent orchestration frameworks such as LangGraph, Autogen, or others.
- Must be a power user of Agentic coding tools like Claude Code, Cursor, Codex.
- Deep understanding of working on asynchronous and streaming system architectures for chat bots and asynchronous agents. Familiarity with tools such as Temporal, and either Python or GO programming languages.
- Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques.
- Ability to analyze a wide variety of data: structured and unstructured, observational and experimental, to drive system designs and product implementations.
- Ensure data quality throughout all stages of acquisition and processing, including such areas as data sourcing/collection, ground truth generation, normalization, transformation, cross-lingual alignment/mapping, etc.
- Manage your own process: identify and execute on high impact projects, triage external requests, and make sure you bring projects to conclusion in time for the results to be useful.
- Excellent written and verbal technical communication skills; communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions.
- BS/MS or equivalent experience in Computer Science, Engineering, Machine Learning, or other relevant technical field.
- Must have 5+ years of industry experience.
PREFERRED QUALIFICATIONS
- Familiarity with Data engineering concepts like data warehouses, streaming data. Specifics like Redshift or Spark are needed.
- Infrastructure engineering and/or DevOps knowledge on systems such as Kubernetes, AWS.
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, 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.
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