AI Specialist Jobs in USA with Visa Sponsorship
AI Specialist roles are among the most actively sponsored positions in the U.S. right now, with H-1B visa approval rates for software and AI-related occupations consistently above 85%. Employers across tech, finance, and healthcare are filing petitions year-round, and cap-exempt employers offer paths outside the lottery. For detailed occupation requirements, see the O*NET profile.
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Job ID: 2020459
Career Area: Human Resources & Transformation
Position Type: Salaried
Location: Headquarters & Technology Center – Auburn Hills 48326, US
Date Posted: August 3, 2026
Brand: FCA Group
Stellantis is seeking an EEO Compliance, AI & Analytics Specialist, who will have responsibility for ensuring compliance with federal, state, and local EEO laws through workplace investigations, data analytics, compliance monitoring, and strategic reporting. This role combines traditional EEO case management with AI-enabled technologies and workforce analytics to identify risk trends, improve reporting, enhance case management processes, and support proactive compliance and workplace culture initiatives. Partners closely with HR, Labor Relations, Legal, Operations, and business leaders to investigate workplace concerns and provide data-driven insights that strengthen organizational compliance and equity programs.
Key Responsibilities:
- Conduct impartial investigations involving discrimination, harassment, retaliation, accommodations, and workplace conduct concerns.
- Develop investigative plans, conduct interviews, analyze evidence, and prepare investigation reports.
- Maintain case documentation and ensure compliance with employment laws and company policies.
- Utilize AI-enabled tools to improve case management, trend analysis, workflow efficiency, and reporting accuracy.
- Evaluate AI-generated insights for fairness, accuracy, legal defensibility, and Responsible AI compliance.
- Analyze workforce and case data to identify trends, risks, policy gaps, and workplace culture indicators.
- Develop dashboards, KPIs, executive reports, and presentations using Power BI, Excel, and other analytics tools.
- Provide data-driven recommendations to improve employee experience and organizational effectiveness.
Core Competencies:
Integrity, strategic thinking, analytical capability, sound judgment, collaboration, executive communication, and continuous learning. Success is measured through investigation timeliness, compliance outcomes, reporting effectiveness, risk reduction, data quality, and AI governance compliance.
EOE/Disability/Veteran
At Stellantis, we assess candidates based on qualifications, merit, and business needs. We welcome applications from all people without regard to sex, age, ethnicity, nationality, religion, sexual orientation, disability, or any characteristic protected by law. We believe that diverse teams reflect our identity as a global company, enabling us to better address the evolving needs of our customers and care for our future.
Our benefits reflect the STELLANTIS commitment to helping you reach your personal and professional goals. In addition to an environment that promotes career development, we offer benefits for a healthy lifestyle and a rewarding future, designed to take care of you and your family, in various stages of life.
As a global company, our employee packages will vary by country, customary norms and the legal entity into which you are hired.
We care about your privacy. For more information on how your personal data is processed, please read the specific Privacy Statement provided by the respective entities whose job offer you have selected.
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Get Access To All JobsTips for Finding Visa Sponsorship as an AI Specialist
Frame your degree in a technical field
H-1B approval for AI Specialist roles hinges on specialty occupation status. A degree in computer science, statistics, mathematics, or electrical engineering maps cleanly to the role. Interdisciplinary degrees work but require stronger supporting documentation from your employer.
Target cap-exempt employers first
Universities, nonprofit research institutions, and government-affiliated labs can sponsor H-1B visas outside the annual lottery. For AI specialists, these include research labs at MIT, Stanford, and national laboratories, where demand for ML and AI talent is high year-round.
Highlight proprietary tools and model experience
USCIS scrutinizes whether AI Specialist roles genuinely require a degree. Petitions that detail work with specific frameworks like PyTorch, TensorFlow, or large language model architectures are far more defensible than generic descriptions of data analysis or automation tasks.
Don't overlook the O-1A visa pathway
If you've published research, won awards, or hold a senior position with demonstrated impact, the O-1A is worth exploring. It has no lottery, no annual cap, and AI researchers with conference publications or cited work often meet multiple qualifying criteria.
Prepare for employer RFE risk on job duty specificity
USCIS frequently issues Requests for Evidence on AI roles, questioning whether a degree is truly required. Employers should document the theoretical and applied knowledge the position demands, referencing peer-reviewed standards and internal technical specifications wherever possible.
Browse sponsoring employers before applying broadly
Not every company that posts AI roles will sponsor visas. Filtering for verified sponsoring employers on Migrate Mate before applying saves weeks of outreach to companies that will decline at the offer stage due to immigration policy constraints.
Frequently Asked Questions
What visa is most commonly used to sponsor AI Specialist roles in the U.S.?
The H-1B visa is the most common sponsorship path for AI Specialists, classifying the role as a specialty occupation requiring at least a bachelor's degree in a directly related field. USCIS approval rates for computer-related occupations, which cover most AI roles, have historically exceeded 85%. Australians also have access to the E-3 visa, which bypasses the H-1B lottery entirely.
Does my degree field matter for H-1B sponsorship as an AI Specialist?
Yes, and it matters more than most applicants expect. USCIS requires a direct relationship between your degree and the specific duties of the role. Computer science, statistics, applied mathematics, and data science degrees map cleanly. A business or humanities degree, even with extensive AI experience, makes the petition significantly harder to approve without supplemental evidence of equivalent education.
How competitive is the H-1B lottery for AI Specialist roles?
The lottery is the same for all cap-subject H-1B petitions regardless of job title, with a selection rate around 25% in recent years. However, AI Specialists hired by universities, nonprofit research organizations, or government-affiliated entities are cap-exempt and bypass the lottery entirely. Many AI professionals pursue these roles specifically to avoid lottery dependency.
Can I get sponsored as an AI Specialist without a traditional four-year degree?
It's possible but more complex. USCIS allows three years of specialized work experience to substitute for one year of formal education, meaning 12 years of directly relevant experience can satisfy a four-year degree requirement. In practice, this standard is difficult to meet for AI roles without documented, progressive technical responsibility. An immigration attorney should evaluate your specific profile before an employer files.
Where can I find AI Specialist jobs that are open to visa sponsorship?
Migrate Mate is built specifically for this, listing AI Specialist roles from employers who have actively sponsored work visas. Filtering by sponsorship status upfront means you're only seeing companies with a verified track record of filing H-1B or other work visa petitions, rather than discovering late in the process that a company doesn't sponsor international candidates.
What is the prevailing wage requirement for sponsored AI Specialist 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.