AI Engineer Visa Sponsorship Jobs in North Carolina
North Carolina's AI engineering market is concentrated in the Research Triangle, where companies like Red Hat, Cisco, and SAS Institute, along with major universities and a growing biotech corridor, drive consistent demand. Charlotte's expanding fintech and banking sector adds another hiring center for international AI engineers seeking visa sponsorship.
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Get Access To All JobsAbout this role:
Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist (AI Research Scientist Lead – Foundation Models & Agentic AI) to drive advanced AI initiatives. This role will lead the development and evaluation of next-generation Foundation Models, Agentic AI solutions, and Generative AI systems, ensuring they are robust, scalable, and aligned with regulatory expectations. This is a high-impact opportunity to operate at the intersection of AI innovation and model risk oversight, partnering with business, technology, and risk leaders to bring cutting-edge AI capabilities into real-world financial applications that serve millions of customers.
In this role, you will:
- Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation.
- Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
- Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs.
- Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
- Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
- Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
- Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.
Required Qualifications:
- 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research / research innovation or industry experience building foundational models.
- Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.
- Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
- Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
- Experience with transferring foundation models, LLMs, and agentic AI systems in production
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
4 Sep 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
About this role:
Wells Fargo’s Model Risk Management (MRM) team is seeking a Senior Lead Quantitative Analytics Specialist (AI Research Scientist Lead – Foundation Models & Agentic AI) to drive advanced AI initiatives. This role will lead the development and evaluation of next-generation Foundation Models, Agentic AI solutions, and Generative AI systems, ensuring they are robust, scalable, and aligned with regulatory expectations. This is a high-impact opportunity to operate at the intersection of AI innovation and model risk oversight, partnering with business, technology, and risk leaders to bring cutting-edge AI capabilities into real-world financial applications that serve millions of customers.
In this role, you will:
- Lead end-to-end research projects in Agentic AI / AI / Generative AI / Machine Learning from ideation, research, experimentation, implementation, evaluation, transfer and documentation.
- Contribute and lead building the next generation of foundation models and agentic AI systems trained / operating on large volumes of heterogeneous data - both structured and unstructured - that enhance Wells Fargo's products, services, and operations.
- Lead the deployment of foundation models, LLMs, and agentic AI systems into production, with a strong understanding of deployment trade-offs.
- Drive the exploration, application, and rigorous evaluation of emerging AI technologies that solve real-world challenges.
- Collaborate closely with interdisciplinary teams, including researchers, data scientists, applied engineers, and domain experts.
- Translate research insights into impactful business solutions, open-source contributions, patents, and publications.
- Publish in top-tier AI/ML conferences and journals and represent Wells Fargo in the broader AI research community.
Required Qualifications:
- 7+ years of Quantitative Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
- Master's degree or higher in a quantitative discipline such as mathematics, statistics, engineering, physics, economics, or computer science
Desired Qualifications:
- PhD in Computer Science, Artificial Intelligence, or a closely related computational field, or an MSc with at least 3 years of relevant applied research / research innovation or industry experience building foundational models.
- Solid proven research track record with publications in top-tier AI/ML conferences such as NeurIPS, ICML, ICLR, NAACL, or EMNLP, combined with a demonstrated interest in translating research into real-world applications that impact millions of customers.
- Deep expertise in one or more specialized areas, including but not limited to: Foundation Models (GPT-4, BERT, LLaMA, Claude), Large Language Models (LLMs), Large Reasoning Models, Multimodal Models, Agentic AI
- Demonstrated ability to apply GenAI / Agentic AI in the full build lifecycle - design, implementation, testing, and iteration - leveraging AI coding copilots (e.g., GitHub Copilot) and agentic coding workflows to accelerate delivery while maintaining enterprise standards
- Hands-on experience with GPU infrastructure, Transformer architecture, modern AI/ML development frameworks and tools such as TensorFlow, PyTorch, Hugging Face, AWS, GCP.
- Strong engineering background with demonstrated ability to contribute to collaborative software engineering projects, including version control, code reviews, and scalable system design.
- Experience with transferring foundation models, LLMs, and agentic AI systems in production
Job Expectations:
- This position offers a hybrid work schedule
- Willingness to work onsite at stated location on the job posting
- This position is eligible for VISA sponsorship
Job Posting Locations:
- Three Wells Fargo Center, CHARLOTTE, NC
- 600 Wells Fargo, MINNEAPOLIS, MN
- Las Colinas Bldg B, Irving Campus, IRVING, TX
- West Des Moines Campus, 800 S Jordan Creek Pkwy, WEST DES MOINES, IA
- D Building,114N Beaumont St -D Bldg., SAINT LOUIS, MO
- 1150 W Washington, TEMPE, AZ
- 333 Market, SAN FRANCISCO, CA
Pay Range
Reflected is the base pay range offered for this position. Pay may vary depending on factors including but not limited to demonstrated examples of prior performance, skills, experience, or work location. Employees may also be eligible for incentive opportunities.
$185,000.00 - $300,000.00
Benefits
Wells Fargo provides eligible employees with a comprehensive set of benefits, many of which are listed below. Visit Benefits - Wells Fargo Jobs for an overview of the following benefit plans and programs offered to employees.
- Health benefits
- 401(k) Plan
- Paid time off
- Disability benefits
- Life insurance, critical illness insurance, and accident insurance
- Parental leave
- Critical caregiving leave
- Discounts and savings
- Commuter benefits
- Tuition reimbursement
- Scholarships for dependent children
- Adoption reimbursement
Posting End Date:
4 Sep 2026
Job posting may come down early due to volume of applicants.
We Value Equal Opportunity
Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.
Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.
Applicants with Disabilities
To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.
Drug and Alcohol Policy
Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.
Wells Fargo Recruitment and Hiring Requirements:
a. Third-Party recordings are prohibited unless authorized by Wells Fargo.
b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.
AI Engineer Job Roles in North Carolina
See all 115+ AI Engineer Jobs in North Carolina
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Search AI Engineer Jobs in North CarolinaAI Engineer Jobs in North Carolina: Frequently Asked Questions
Which companies sponsor visas for AI engineers in North Carolina?
Several large employers in North Carolina have documented H-1B visa sponsorship histories for AI and machine learning roles. SAS Institute in Cary, Red Hat and Cisco in the Research Triangle Park area, and Lenovo's North American headquarters in Morrisville are notable examples. Charlotte-based financial institutions including Bank of America and Wells Fargo also sponsor AI engineers, particularly for applied machine learning and data science functions.
Which visa types are most common for AI engineer roles in North Carolina?
The H-1B is the most common visa for AI engineers in North Carolina, as software and machine learning roles typically qualify as specialty occupations requiring a bachelor's degree or higher in a relevant field. Candidates already in the U.S. on F-1 OPT or STEM OPT extension often transition to H-1B sponsorship. The O-1A is an option for engineers with demonstrated exceptional ability, though the documentation requirements are significantly higher.
Which cities in North Carolina have the most AI engineer sponsorship jobs?
The Research Triangle area, covering Raleigh, Durham, and Chapel Hill, accounts for the largest concentration of AI engineering sponsorship activity in the state, driven by Research Triangle Park, three major research universities, and a dense tech and biotech cluster. Charlotte is the second most active market, particularly in fintech and banking AI. Morrisville and Cary, adjacent to RTP, also have meaningful sponsorship activity from enterprise software and hardware firms.
How to find ai engineer visa sponsorship jobs in North Carolina?
Migrate Mate filters job listings specifically by visa sponsorship availability, so you can browse AI engineer roles in North Carolina without manually screening each employer. The platform surfaces positions from companies with active sponsorship histories in the state. Given how concentrated North Carolina's AI hiring is in the Research Triangle and Charlotte, filtering by those metro areas on Migrate Mate will return the most relevant results for international candidates.
Are there state-specific factors AI engineers should know about the North Carolina job market?
North Carolina's AI engineering market benefits from proximity to NC State, Duke, and UNC Chapel Hill, which feed a steady pipeline of graduate talent and maintain research partnerships with local employers. This university connection means many sponsoring companies are already familiar with F-1 OPT-to-H-1B transitions. Research Triangle Park hosts over 300 companies, including several with dedicated AI and machine learning teams, making it one of the more internationally experienced hiring environments in the Southeast.
What is the prevailing wage for sponsored ai engineer jobs in North Carolina?
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.