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 visa 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.
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Get Access To All JobsINTRODUCTION
Kforce has a client that is seeking an AI Engineer/Applied AI Developer in Farmington Hills, MI. A forward-looking technology team is seeking an Applied AI Engineer to support rapid prototyping and development of AI-powered solutions. The group operates in a fast-paced, research-driven environment focused on leveraging large language models and emerging AI capabilities to build proof-of-concept applications and intelligent systems.
Responsibilities
- Design and develop AI-powered proof-of-concept applications and experimental solutions
- Build and integrate LLM-based features using prompt engineering, function calling, and API orchestration
- Develop scalable prototypes that demonstrate AI capabilities across structured and unstructured data use cases
- Collaborate with technical stakeholders to translate ideas into working AI-driven applications
- Work with APIs, data pipelines, and external services to support AI functionality and integration
- Contribute to iterative experimentation, testing, and refinement of AI models and workflows
- Participate in code reviews and maintain clean, reusable, and well-documented codebases
REQUIREMENTS
- Strong hands-on development experience with advanced proficiency in Java
- Intermediate to advanced proficiency in Python
- Demonstrated ability to quickly build working proof-of-concept applications
- Strong understanding of prompt engineering and function calling with large language models
- Experience integrating APIs and working with both structured and unstructured data
- Familiarity with Git and collaborative software development practices
- Strong analytical thinking, problem-solving skills, and ability to work in fast-paced environments
- Solid understanding of large language model concepts and practical application usage
PREFERRED QUALIFICATIONS
- Experience building agentic AI systems, conversational AI chatbots, or summarization tools
- Exposure to OpenAI or similar LLM frameworks and ecosystems
- Familiarity with AI application frameworks such as Streamlit, FastAPI, or Flask
- Experience with machine learning frameworks or cloud-based AI services
COMPENSATION
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
INTRODUCTION
Kforce has a client that is seeking an AI Engineer/Applied AI Developer in Farmington Hills, MI. A forward-looking technology team is seeking an Applied AI Engineer to support rapid prototyping and development of AI-powered solutions. The group operates in a fast-paced, research-driven environment focused on leveraging large language models and emerging AI capabilities to build proof-of-concept applications and intelligent systems.
Responsibilities
- Design and develop AI-powered proof-of-concept applications and experimental solutions
- Build and integrate LLM-based features using prompt engineering, function calling, and API orchestration
- Develop scalable prototypes that demonstrate AI capabilities across structured and unstructured data use cases
- Collaborate with technical stakeholders to translate ideas into working AI-driven applications
- Work with APIs, data pipelines, and external services to support AI functionality and integration
- Contribute to iterative experimentation, testing, and refinement of AI models and workflows
- Participate in code reviews and maintain clean, reusable, and well-documented codebases
REQUIREMENTS
- Strong hands-on development experience with advanced proficiency in Java
- Intermediate to advanced proficiency in Python
- Demonstrated ability to quickly build working proof-of-concept applications
- Strong understanding of prompt engineering and function calling with large language models
- Experience integrating APIs and working with both structured and unstructured data
- Familiarity with Git and collaborative software development practices
- Strong analytical thinking, problem-solving skills, and ability to work in fast-paced environments
- Solid understanding of large language model concepts and practical application usage
PREFERRED QUALIFICATIONS
- Experience building agentic AI systems, conversational AI chatbots, or summarization tools
- Exposure to OpenAI or similar LLM frameworks and ecosystems
- Familiarity with AI application frameworks such as Streamlit, FastAPI, or Flask
- Experience with machine learning frameworks or cloud-based AI services
COMPENSATION
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law. This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
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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.
Maximize STEM OPT while building your visa case
CS, statistics, and mathematics degrees qualify for STEM OPT, giving you up to 3 years of work authorization. Use that runway to publish, build production systems, or contribute to open-source AI projects that strengthen a future O-1 or H-1B petition.
Frequently 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 visa 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.