AI Jobs in USA with Visa Sponsorship
Artificial intelligence is one of the most aggressively recruited fields in the US, with leading AI labs, tech giants, and research institutions all vying for top global talent. The combination of a PhD-level research background and practical AI expertise can open doors not only to H-1B visa sponsorship but also to the O-1 extraordinary ability visa, which has no annual cap. Whether you focus on foundational models, computer vision, NLP, or reinforcement learning, US employers are investing heavily in AI and are prepared to sponsor the best minds from anywhere in the world. For detailed occupation requirements, see the O*NET profile.
See All AI JobsOverview
Showing 5 of 839+ AI jobs


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?


Have you applied for this role?
See all 839+ AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI roles.
Get Access To All Jobs
Must Have Technical/Functional Skills
- GEN AI & AGENTIC AI build & Implementation experience
- Hands-on experience with LLMs and RAG architectures
- Experience with vector databases and semantic search
- Practical understanding of prompt engineering and evaluation
- Hands-on experience building agentic or multi-step AI workflows (not just prompting)
- Experience with orchestration frameworks and tool calling
- Understanding of AI safety, guardrails, and reliability patterns
- Ability to operationalize AI agents at enterprise scale
Roles & Responsibilities
- Build end-to-end GenAI applications using LLMs (text, documents, Q&A, summarization, extraction)
- Implement RAG pipelines: data ingestion, chunking, embeddings, vector search, and grounded responses
- Develop APIs and microservices to integrate GenAI solutions with enterprise systems
- Implement structured outputs, function calling, and prompt frameworks
- Support evaluation, testing, monitoring, and continuous improvement of GenAI solutions
- Collaborate closely with the GenAI Architect and Agentic AI Engineers
- Design and implement agentic AI workflows (planning execution observation iteration)
- Build tool-using AI agents integrated with APIs, data sources, and enterprise systems
- Implement multi-agent or orchestrated agent architectures where required
- Combine Agentic AI with RAG for grounded, enterprise-safe responses
- Implement guardrails, safety checks, and evaluation mechanisms
- Debug, optimize, and operationalize agentic workflows in production
Salary Range: $130,000 to $170,000 per year
Location
New York, NY
Job Function
TECHNOLOGY
Role
Engineer
Job Id
406637
Desired Skills
Artificial Intelligence
Salary Range
$130,000-$170,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE

Must Have Technical/Functional Skills
- GEN AI & AGENTIC AI build & Implementation experience
- Hands-on experience with LLMs and RAG architectures
- Experience with vector databases and semantic search
- Practical understanding of prompt engineering and evaluation
- Hands-on experience building agentic or multi-step AI workflows (not just prompting)
- Experience with orchestration frameworks and tool calling
- Understanding of AI safety, guardrails, and reliability patterns
- Ability to operationalize AI agents at enterprise scale
Roles & Responsibilities
- Build end-to-end GenAI applications using LLMs (text, documents, Q&A, summarization, extraction)
- Implement RAG pipelines: data ingestion, chunking, embeddings, vector search, and grounded responses
- Develop APIs and microservices to integrate GenAI solutions with enterprise systems
- Implement structured outputs, function calling, and prompt frameworks
- Support evaluation, testing, monitoring, and continuous improvement of GenAI solutions
- Collaborate closely with the GenAI Architect and Agentic AI Engineers
- Design and implement agentic AI workflows (planning execution observation iteration)
- Build tool-using AI agents integrated with APIs, data sources, and enterprise systems
- Implement multi-agent or orchestrated agent architectures where required
- Combine Agentic AI with RAG for grounded, enterprise-safe responses
- Implement guardrails, safety checks, and evaluation mechanisms
- Debug, optimize, and operationalize agentic workflows in production
Salary Range: $130,000 to $170,000 per year
Location
New York, NY
Job Function
TECHNOLOGY
Role
Engineer
Job Id
406637
Desired Skills
Artificial Intelligence
Salary Range
$130,000-$170,000 a year
Qualifications
BACHELOR OF COMPUTER SCIENCE
See all 839+ AI jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new AI roles.
Get Access To All JobsTips for Finding AI Jobs
Build an O-1 case through publications and patents
AI researchers with papers at NeurIPS, ICML, ICLR, or CVPR can build a strong O-1 extraordinary ability petition. Combine publications with peer review service, citation counts, and media coverage of your work for a compelling case.
Explore EB-2 NIW for nationally important AI research
If you hold a PhD and work on AI safety, healthcare AI, or national security applications, you may qualify for an EB-2 National Interest Waiver. This green card path doesn't require employer sponsorship - you petition on your own behalf.
Target the labs driving the AI boom
OpenAI, Anthropic, Google DeepMind, Meta FAIR, and Microsoft Research are hiring aggressively and have well-established visa sponsorship processes. Competition is intense, but these organizations expect to sponsor international talent.
Use cap-exempt university AI labs as a launchpad
Stanford HAI, MIT CSAIL, CMU, and Berkeley BAIR hire researchers on cap-exempt H-1B visas - no lottery required. A few years in an academic lab builds your publication record and keeps your visa options open.
Specialize in high-demand AI subfields
AI safety, LLM training, multimodal AI, and reinforcement learning from human feedback are areas where demand far outstrips supply. Deep specialization gives you leverage in both hiring and sponsorship conversations.
AI jobs are hiring across the US. Find yours.
Find AI JobsFrequently Asked Questions
Do I need a PhD to get visa sponsorship for AI roles in the U.S.?
A PhD is not strictly required for H-1B sponsorship in AI roles. A master's degree in computer science, machine learning, or a related field is sufficient for many applied AI positions. However, a PhD significantly expands your options: it qualifies you for research scientist roles at top AI labs, strengthens O-1 extraordinary ability petitions through publications, and makes you eligible for the 20,000 additional H-1B slots reserved for U.S. advanced degree holders. For research-focused positions at organizations like Google DeepMind or OpenAI, a PhD is often a practical requirement.
How to find AI jobs with visa sponsorship?
To find AI jobs with visa sponsorship, use Migrate Mate, which specializes in connecting international talent with sponsoring employers. Focus on tech companies, startups, and research institutions that commonly sponsor H-1B, O-1, or TN visas for AI engineers, machine learning specialists, and data scientists. These employers actively seek skilled AI professionals and understand the visa sponsorship process.
What is the O-1 visa pathway for AI professionals, and how does it compare to the H-1B?
The O-1A visa recognizes extraordinary ability in sciences and has no annual cap and no lottery. To qualify, you need to meet at least three of eight criteria, which for AI professionals typically include published research, peer review contributions, original contributions of major significance, and a high salary relative to peers. The O-1 is employer-sponsored like the H-1B but can be processed in as little as 15 business days with premium processing. The bar is high but achievable for AI professionals with a solid publication record and demonstrable impact.
Is the National Interest Waiver a viable path for AI researchers?
Yes, and it is gaining traction. The NIW falls under the EB-2 green card category and allows you to self-petition without employer sponsorship. USCIS has shown increasing willingness to approve NIW petitions for AI researchers whose work advances U.S. competitiveness in the field. You need to demonstrate that your work has substantial merit and national importance, that you are well-positioned to advance it, and that waiving the job offer requirement benefits the U.S. A strong publication record and evidence of real-world impact strengthen the case significantly.
Can open-source contributions strengthen my AI visa petition?
Yes. Significant contributions to widely used AI libraries, frameworks, or tools can serve as evidence of original contributions of major significance for O-1 petitions. Metrics like GitHub stars, forks, citations in research papers, and adoption by major companies help quantify the impact. For H-1B petitions, open-source work is less directly relevant but can support the broader argument that the role requires specialized expertise. Document your contributions carefully, including download statistics and any recognition from the community.
Which AI labs and companies are the most active sponsors?
Leading AI labs like OpenAI, Anthropic, Google DeepMind, and Meta FAIR have dedicated immigration teams and routinely sponsor both H-1B and O-1 visas. Large tech companies (Google, Microsoft, Amazon, Apple) sponsor across applied AI, research, and infrastructure roles. Beyond pure AI companies, healthcare AI firms, autonomous vehicle companies, and fintech startups building ML-driven products are also active sponsors. Research institutions and university-affiliated labs offer cap-exempt H-1B positions that bypass the lottery entirely.
What is the prevailing wage requirement for sponsored AI jobs?
When a U.S. employer sponsors a foreign worker for a work visa, they are legally required to pay at least the "prevailing wage", the average wage paid to workers in the same occupation, in the same geographic area, with similar experience. This is set by the Department of Labor to prevent employers from hiring foreign workers at below-market rates. The prevailing wage varies significantly by role, location, and experience level. For example, a ai in California will have a different prevailing wage than the same role in a smaller state. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search Page.
See which AI employers are hiring and sponsoring visas right now.
Search AI Jobs