Artificial Intelligence Scientist Jobs in USA with Visa Sponsorship
Artificial Intelligence Scientists are among the most actively sponsored roles in the U.S. Employers routinely file H-1B visa petitions for this title, and the specialty occupation requirement is straightforwardly met by a master's or PhD in computer science, machine learning, or a closely related field. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsINTRODUCTION
PromptBio, established in 2023 in Pleasanton, California, is a biotechnology company dedicated to developing AI-driven workflows that automate the discovery of novel biomarkers from multi-omics data, translating them into clinical diagnostic applications.
ROLE AND RESPONSIBILITIES
We seek a motivated, hands-on AI Scientist to join our interdisciplinary team, focusing on integrating AI solutions within the life sciences domain.
- Design, prototype, and implement cutting-edge autonomous AI agents and multi-agent systems capable of dynamic planning, reasoning, memory management, and self-reflection.
- Develop and integrate core agent components, including planning modules (e.g., Tree-of-Thought, CoT-based planners), tool-use interfaces, and persistent long-term memory/retrieval mechanisms (RAG).
- Develop high-quality, production-ready code in Python/Go for integrating LLMs and other foundational models into functional agent architectures.
- Build and maintain scalable agent infrastructure using frameworks like LangChain ensuring seamless integration with cloud services (AWS preferred).
- Conduct rigorous testing, evaluation, and optimization of agent performance on complex, real-world tasks.
- Work closely with the engineering team to define agent use cases and translate research prototypes into deployable product features that deliver business value.
BASIC QUALIFICATIONS
- Minimum of 2-3 years of industry experience with demonstrated practical experience building and implementing LLM-based agents (e.g., using tool-calling, external memory, and multi-step reasoning).
- Strong understanding of key agentic concepts: Memory (Short-Term/Long-Term), Planning, Tool Use, and Self-Reflection/Evaluation.
- Hands-on experience with agentic automation/frameworks (e.g., LangChain, ReAct, etc.), vector databases (e.g., Qdrant), and infrastructure services (e.g., Bedrock AgentCore).
- Fluency with software engineering best practices, including testing, code reviews, version control (e.g., Git), and containerization.
- Knowledge of AI ethics and safety principles, particularly as they apply to autonomous decision-making systems.
- Knowledge of bioinformatics data analysis will be a significant plus.
- Ph.D. in AI, Machine Learning, Statistics, Bioinformatics or a related field.
PREFERRED QUALIFICATIONS
- Entrepreneurial mindset with comfort in ambiguous, fast-paced environments.
- Proactive, results-oriented, and driven with a "get things done" mindset.
- Strong problem-solving skills and adaptability to evolving project requirements.
- Collaborative team player who thrives in dynamic environments.
BENEFITS
- Financial security through competitive compensation, incentives, and retirement plan.
- Healthcare and well-being programs including competitive medical, dental, and vision benefits.
- Generous paid time-off including vacation, sick time, holidays, and discretionary winter shutdown.
- 401(k) retirement savings with a generous company match.
- Other comprehensive voluntary benefits include but are not limited to pet insurance, life insurance, employee assistance program (EAP), discount programs, and many more.
- We continue to optimize our benefits & wellness programs as we grow our organization to make sure they meet our diverse workforce needs.
- Hybrid work opportunities.
LOCATION
Location: Pleasanton, CA, USA
Employment: Full-time
INTRODUCTION
PromptBio, established in 2023 in Pleasanton, California, is a biotechnology company dedicated to developing AI-driven workflows that automate the discovery of novel biomarkers from multi-omics data, translating them into clinical diagnostic applications.
ROLE AND RESPONSIBILITIES
We seek a motivated, hands-on AI Scientist to join our interdisciplinary team, focusing on integrating AI solutions within the life sciences domain.
- Design, prototype, and implement cutting-edge autonomous AI agents and multi-agent systems capable of dynamic planning, reasoning, memory management, and self-reflection.
- Develop and integrate core agent components, including planning modules (e.g., Tree-of-Thought, CoT-based planners), tool-use interfaces, and persistent long-term memory/retrieval mechanisms (RAG).
- Develop high-quality, production-ready code in Python/Go for integrating LLMs and other foundational models into functional agent architectures.
- Build and maintain scalable agent infrastructure using frameworks like LangChain ensuring seamless integration with cloud services (AWS preferred).
- Conduct rigorous testing, evaluation, and optimization of agent performance on complex, real-world tasks.
- Work closely with the engineering team to define agent use cases and translate research prototypes into deployable product features that deliver business value.
BASIC QUALIFICATIONS
- Minimum of 2-3 years of industry experience with demonstrated practical experience building and implementing LLM-based agents (e.g., using tool-calling, external memory, and multi-step reasoning).
- Strong understanding of key agentic concepts: Memory (Short-Term/Long-Term), Planning, Tool Use, and Self-Reflection/Evaluation.
- Hands-on experience with agentic automation/frameworks (e.g., LangChain, ReAct, etc.), vector databases (e.g., Qdrant), and infrastructure services (e.g., Bedrock AgentCore).
- Fluency with software engineering best practices, including testing, code reviews, version control (e.g., Git), and containerization.
- Knowledge of AI ethics and safety principles, particularly as they apply to autonomous decision-making systems.
- Knowledge of bioinformatics data analysis will be a significant plus.
- Ph.D. in AI, Machine Learning, Statistics, Bioinformatics or a related field.
PREFERRED QUALIFICATIONS
- Entrepreneurial mindset with comfort in ambiguous, fast-paced environments.
- Proactive, results-oriented, and driven with a "get things done" mindset.
- Strong problem-solving skills and adaptability to evolving project requirements.
- Collaborative team player who thrives in dynamic environments.
BENEFITS
- Financial security through competitive compensation, incentives, and retirement plan.
- Healthcare and well-being programs including competitive medical, dental, and vision benefits.
- Generous paid time-off including vacation, sick time, holidays, and discretionary winter shutdown.
- 401(k) retirement savings with a generous company match.
- Other comprehensive voluntary benefits include but are not limited to pet insurance, life insurance, employee assistance program (EAP), discount programs, and many more.
- We continue to optimize our benefits & wellness programs as we grow our organization to make sure they meet our diverse workforce needs.
- Hybrid work opportunities.
LOCATION
Location: Pleasanton, CA, USA
Employment: Full-time
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Get Access To All JobsTips for Finding Visa Sponsorship as an Artificial Intelligence Scientist
Target employers with a history of H-1B filings for AI roles
Companies like Google, Meta, Microsoft, and Amazon file hundreds of H-1B petitions annually for AI Scientist roles. Filtering by employers with consistent LCA filings for this title significantly improves your odds of finding a genuine sponsor.
Lead with published research when approaching employers
Sponsors for AI Scientist roles respond strongly to peer-reviewed publications, conference papers at NeurIPS or ICML, and open-source contributions. These signal the specialized expertise that justifies sponsorship over a domestic candidate.
A master's degree is the floor, a PhD opens more doors
Most H-1B petitions for AI Scientist roles cite a master's or PhD in a quantitative field. A bachelor's degree alone makes specialty occupation harder to establish, especially at research-focused labs and enterprise AI teams.
Understand the H-1B lottery timeline before you apply
H-1B registration opens in March, with selection in late March and petitions filed by June 30. Most AI Scientist roles require cap-subject H-1B sponsorship, so aligning your job search to this calendar matters significantly.
Cap-exempt employers can hire you outside the lottery
Universities, nonprofit research institutions, and certain government-affiliated labs are cap-exempt, meaning they can file H-1B petitions at any time of year with no lottery. These are worth targeting if you miss the annual cap cycle.
Use Migrate Mate to find employers actively sponsoring AI roles
Migrate Mate filters job listings specifically for visa sponsorship, so you can browse AI Scientist openings from employers with documented H-1B filing histories rather than guessing which companies will actually sponsor.
Frequently Asked Questions
Is Artificial Intelligence Scientist a specialty occupation for H-1B purposes?
Yes. USCIS consistently recognizes AI Scientist roles as specialty occupations because the position normally requires at least a bachelor's degree in a specific technical field, typically computer science, machine learning, statistics, or electrical engineering. Research-oriented AI roles with a PhD requirement are among the stronger H-1B visa petition categories, facing relatively low RFE rates compared to generalist tech titles.
Do I need a PhD to get sponsored as an AI Scientist?
Not always, but it depends heavily on the employer and role type. Applied AI Scientist positions at product companies often accept a strong master's degree plus relevant research experience. Pure research scientist roles at labs, including those at large tech companies, frequently require a PhD. If your degree is a master's, pairing it with publications or a strong research portfolio materially strengthens the petition.
How competitive is the H-1B lottery for AI Scientists?
AI Scientists enter the same lottery as all other H-1B cap-subject workers. In FY2025, the overall selection rate was approximately 25%. However, candidates with an advanced U.S. degree (master's or PhD from a U.S. institution) get two chances at selection, first in the master's cap pool, then in the general pool, which meaningfully improves overall odds.
Can I get sponsored as an AI Scientist without going through the H-1B lottery?
Yes, through a few paths. Universities and nonprofit research organizations are cap-exempt and can file H-1B petitions year-round. The O-1A visa is another option for AI Scientists who can demonstrate extraordinary ability through publications, awards, peer review, or significant contributions to the field. Some candidates on F-1 OPT also continue working while their employer files in the next lottery cycle.
Where can I find AI Scientist jobs that explicitly offer visa sponsorship?
Migrate Mate is built specifically for international candidates seeking visa sponsorship. You can browse AI Scientist roles filtered by employers with H-1B filing history, which removes the guesswork of reaching out to companies that won't actually sponsor. Most general job boards don't surface this information reliably, making sponsorship-specific platforms significantly more efficient for this search.
What is the prevailing wage requirement for sponsored Artificial Intelligence Scientist jobs?
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.