Green Card AI Engineer Jobs
AI Engineer roles qualify for green card sponsorship under EB-2 for advanced-degree professionals and EB-3 for skilled workers with a bachelor's degree. Your employer files a PERM labor certification with DOL before petitioning USCIS, permanently sponsoring your U.S. residency rather than renewing a temporary work authorization every few years.
Find Green Card AI Engineer JobsOverview
Showing 5 of 5,301+ AI Engineer jobs
See all 5,301+ AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI Engineer roles.
Get Access To All JobsINTRODUCTION
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
ROLE AND RESPONSIBILITIES
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
BASIC QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
COMPENSATION
- Salary Range: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
INTRODUCTION
Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
ROLE AND RESPONSIBILITIES
- Write product or system development code.
- Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
- Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
- Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.
BASIC QUALIFICATIONS
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
- Experience with core GenAI concepts (LLM, Multi-Modal, Large Vision Models) and experience with text, image, video, or audio generation.
PREFERRED QUALIFICATIONS
- Master's degree or PhD in Computer Science or related technical field.
- 5 years of experience with data structures and algorithms.
- 1 year of experience in a technical leadership role.
- Experience developing accessible technologies.
COMPENSATION
- Salary Range: $174000 - $252000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
See all 5,301+ Green Card AI Engineer Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Green Card AI Engineer Jobs.
Get Access To All JobsTips for Finding Green Card Sponsorship as an AI Engineer
Document your AI specialization precisely
PERM requires your employer to define a specific job requirement, so gather transcripts, publications, and project portfolios that tie your ML, NLP, or computer vision expertise to a clearly bounded specialty occupation before the labor certification begins.
Target employers with active PERM filing history
Search Migrate Mate to filter AI Engineer roles by employers who have sponsored green cards before. A history of PERM filings signals an in-house process, reducing the delays that come from employers navigating sponsorship for the first time.
Clarify EB-2 versus EB-3 with your prospective employer
If your role requires an advanced degree or a specialized research background, push for EB-2 classification, which opens the National Interest Waiver path. Many AI Engineering roles qualify but get filed under EB-3 by default because employers use standard job description templates.
Verify the posted salary covers prevailing wage before signing
PERM requires DOL to certify that your offered wage meets or exceeds the prevailing wage for your role and location. Cross-check the offer against the OFLC Wage Search before accepting, because a wage shortfall forces your employer to restart the labor certification.
Ask employers about priority date strategy during interviews
Priority dates for India-born and China-born AI Engineers can mean multi-year waits at the EB-2 and EB-3 levels. Ask whether your employer files concurrently or immediately, and whether they use premium processing on the I-140 to lock in your priority date faster.
Align your O*NET job zone classification with USCIS standards
AI Engineer roles are classified in Job Zone 4 or 5 on O*NET, which supports specialty occupation arguments. Confirm that your employer's PERM job description references degree requirements consistent with that classification so USCIS approves the I-140 without a Request for Evidence.
Green Card AI Engineer: Frequently Asked Questions
Does my AI Engineer role qualify for EB-2 or EB-3 green card sponsorship?
Most AI Engineer positions qualify for EB-2 when the role requires a master's degree or equivalent in computer science, machine learning, or a related field. If the employer requires only a bachelor's degree, EB-3 applies instead. Your employer's PERM labor certification must accurately reflect the minimum educational requirement the role genuinely needs, not just what you personally hold.
How does PERM green card sponsorship differ from H-1B for AI Engineers?
H-1B visa is a temporary, renewable status tied to an employer and subject to an annual lottery. PERM sponsorship leads to permanent residency and has no lottery at the EB-3 level. The tradeoff is timeline: PERM labor certification, I-140 approval, and adjustment of status together take several years, compared to H-1B status that can begin within months of a cap-subject approval.
Which employers sponsor green cards for AI Engineers?
Large technology companies, AI-focused research labs, financial institutions running quantitative or risk modeling teams, and healthcare analytics firms regularly sponsor EB-2 and EB-3 green cards for AI Engineers. You can search Migrate Mate to filter AI Engineer roles specifically by employers with PERM filing history, narrowing your search to companies already familiar with the sponsorship process.
What happens to my green card case if I change employers mid-process?
Changing employers before your I-140 is approved generally requires restarting PERM with the new employer. After I-140 approval and once your priority date is current, the AC21 portability rule lets you transfer your case to a new employer offering a same or similar role without losing your priority date, which matters most for nationals of countries with long backlogs.
Can I self-petition for a green card as an AI Engineer without employer sponsorship?
Yes, if you have strong credentials. The EB-2 National Interest Waiver lets you self-petition without an employer or PERM labor certification if you can demonstrate your work in AI benefits the United States beyond your direct employer. Researchers publishing in peer-reviewed venues, contributors to open-source infrastructure, or specialists working on national security applications are common successful NIW petitioners in this field. Use Migrate Mate to identify roles at employers who also support NIW filings alongside traditional PERM.