VP Of AI Jobs in USA with Visa Sponsorship
VP of AI roles attract H-1B visa, O-1A, and EB-1C sponsorship from tech companies, AI startups, and enterprises building out machine learning infrastructure. Most require a graduate degree in computer science or a related field, and demonstrated leadership over AI teams or products. For detailed occupation requirements, see the O*NET profile.
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Get Access To All JobsBy joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
VP Responsible AI
ESSENTIAL FUNCTIONS and RESPONSIBILITIES
- Own Sedgwick's enterprise Responsible AI and AI Governance strategy, operating model, roadmap, and maturity evolution.
- Serve as the executive business owner for the credo governance platform, including vendor relationship management, platform adoption, workflow design, risk frameworks, controls, reporting, audits, renewals, and strategic direction.
- Serve as the executive business owner for the OpenLayer platform, including observability, evaluation, testing, runtime guardrails, monitoring, model quality oversight, and operational governance capabilities.
- Own executive relationships with Credo AI and OpenLayer leadership teams and drive product roadmap alignment to Sedgwick requirements.
- Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies.
- Own the enterprise AI inventory, use-case registry, model registry, agent registry, and AI risk register.
- Define AI risk-tiering methodologies and approval requirements for models, agents, copilots, automation workflows, and third-party AI products.
- Design and operate a highly automated AI governance process that minimizes manual reviews while maintaining appropriate controls, auditability, and risk oversight. The workflow includes automated intake, risk classification, policy assignment, routing, control selection, approvals, monitoring, and evidence generation.
- Lead the transformation from committee-driven approvals to policy-driven governance with automated controls and risk-based escalation paths.
- Ensure governance controls are embedded directly into AI development, CI/CD, deployment, monitoring, and operational processes.
- Establish governance requirements for AI systems built internally, acquired through vendors, embedded in third-party applications, or inherited through acquisitions.
- Partner with Legal, Compliance, Privacy, Risk, Security, Internal Audit, and Technology leadership to maintain governance alignment.
AI Risk, Compliance & Assurance (close partnership with Sedgwick Privacy Compliance and Cyber Security organization)
- Establish and maintain AI control frameworks aligned to emerging AI regulations, industry standards, client obligations, and enterprise risk requirements.
- Own AI compliance evidence, audit readiness, control testing, and governance reporting.
- Ensure governance controls address bias, privacy, explainability, transparency, security, robustness, hallucination risk, model drift, and human oversight requirements.
- Define governance requirements for vendor AI products, foundation models, copilots, agents, and autonomous workflows.
- Lead management of AI incidents, exceptions, waivers, and remediation programs.
- Develop governance KPIs, KRIs, scorecards, and executive dashboards.
OpenLayer & Operational Governance Oversight
- Ensure pre-deployment evaluations are executed for quality, risk, robustness, hallucination, toxicity, and compliance requirements.
- Oversee runtime monitoring for drift, policy violations, security threats, model degradation, and operational risk.
- Ensure continuous monitoring evidence is captured and routed into governance reporting and audit processes.
- Establish closed-loop governance processes that convert production issues into improved controls, policies, evaluations, and testing requirements.
Leadership Expectations
- Build and lead a cross-functional Responsible AI, AI Governance.
- Chair or co-chair enterprise AI Governance councils and executive committees.
- Influence executive leadership, regulators, clients, auditors, and technology partners on Responsible AI strategy.
- Act as Sedgwick's senior authority on Responsible AI, AI Governance, and AI risk management.
- Drive a culture that enables rapid AI innovation while maintaining trust, transparency, compliance, security, and accountability across the enterprise.
Success Measures
- Percentage of AI use cases governed through automated workflows.
- Policy compliance across AI systems and vendors.
- Audit and regulatory readiness scores.
- Reduction in governance cycle time.
- AI inventory and registration completeness.
- Number of AI systems continuously monitored through OpenLayer.
- Data quality and lineage coverage across AI workloads.
- Reduction in manual governance reviews through risk-based automation.
- Executive and client confidence in Sedgwick's Responsible AI program.
SUPERVISORY RESPONSIBILITIES
- Provides strategic leadership, direction, coaching, and development to Responsible AI, AI Governance, and related governance program teams.
- Builds, leads, and develops a high-performing organization focused on AI governance, risk management, compliance, controls, oversight, and operational excellence.
- Establishes organizational objectives, performance expectations, talent development plans, succession strategies, and resource allocation priorities.
- Oversees recruitment, selection, onboarding, performance management, and professional development of team members.
QUALIFICATIONS
Bachelor's degree in Computer Science, AI or Data Engineering. A Master’s degree is preferred.
- Fifteen (15) years of progressive leadership experience in computer science, artificial intelligence, data engineering, technology governance, risk management, compliance, or a related field.
- Significant experience leading enterprise-scale AI governance, responsible AI, model risk management, data governance, technology risk, or digital transformation programs.
- Demonstrated experience developing and operationalizing governance frameworks, control models, risk-tiering methodologies, policy standards, approval workflows, and compliance monitoring processes.
- Experience working with AI/ML systems, generative AI, foundation models, copilots, agents, automation workflows, model registries, AI inventories, and third-party AI products.
- Experience implementing or overseeing governance, risk, compliance, observability, model monitoring, model evaluation, or AI control platforms.
- Proven ability to partner with Legal, Compliance, Privacy, Risk, Security, Internal Audit, Technology, Data, and business leadership to align governance requirements across the enterprise.
- Experience preparing for audits, regulatory reviews, client inquiries, control testing, evidence collection, governance reporting, and executive-level risk reviews.
- Demonstrated experience leading cross-functional teams, executive governance councils, committees, or enterprise-wide transformation initiatives.
- Experience managing vendor relationships, technology platforms, product roadmaps, contract renewals, and strategic partnerships preferred.
- Experience in a highly regulated industry or complex global enterprise environment preferred.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
By joining Sedgwick, you'll be part of something truly meaningful. It’s what our 33,000 colleagues do every day for people around the world who are facing the unexpected. We invite you to grow your career with us, experience our caring culture, and enjoy work-life balance. Here, there’s no limit to what you can achieve.
Newsweek Recognizes Sedgwick as America’s Greatest Workplaces National Top Companies
Certified as a Great Place to Work®
Fortune Best Workplaces in Financial Services & Insurance
VP Responsible AI
ESSENTIAL FUNCTIONS and RESPONSIBILITIES
- Own Sedgwick's enterprise Responsible AI and AI Governance strategy, operating model, roadmap, and maturity evolution.
- Serve as the executive business owner for the credo governance platform, including vendor relationship management, platform adoption, workflow design, risk frameworks, controls, reporting, audits, renewals, and strategic direction.
- Serve as the executive business owner for the OpenLayer platform, including observability, evaluation, testing, runtime guardrails, monitoring, model quality oversight, and operational governance capabilities.
- Own executive relationships with Credo AI and OpenLayer leadership teams and drive product roadmap alignment to Sedgwick requirements.
- Establish and maintain Sedgwick's Responsible AI framework using industry standards, regulations, and internal policies.
- Own the enterprise AI inventory, use-case registry, model registry, agent registry, and AI risk register.
- Define AI risk-tiering methodologies and approval requirements for models, agents, copilots, automation workflows, and third-party AI products.
- Design and operate a highly automated AI governance process that minimizes manual reviews while maintaining appropriate controls, auditability, and risk oversight. The workflow includes automated intake, risk classification, policy assignment, routing, control selection, approvals, monitoring, and evidence generation.
- Lead the transformation from committee-driven approvals to policy-driven governance with automated controls and risk-based escalation paths.
- Ensure governance controls are embedded directly into AI development, CI/CD, deployment, monitoring, and operational processes.
- Establish governance requirements for AI systems built internally, acquired through vendors, embedded in third-party applications, or inherited through acquisitions.
- Partner with Legal, Compliance, Privacy, Risk, Security, Internal Audit, and Technology leadership to maintain governance alignment.
AI Risk, Compliance & Assurance (close partnership with Sedgwick Privacy Compliance and Cyber Security organization)
- Establish and maintain AI control frameworks aligned to emerging AI regulations, industry standards, client obligations, and enterprise risk requirements.
- Own AI compliance evidence, audit readiness, control testing, and governance reporting.
- Ensure governance controls address bias, privacy, explainability, transparency, security, robustness, hallucination risk, model drift, and human oversight requirements.
- Define governance requirements for vendor AI products, foundation models, copilots, agents, and autonomous workflows.
- Lead management of AI incidents, exceptions, waivers, and remediation programs.
- Develop governance KPIs, KRIs, scorecards, and executive dashboards.
OpenLayer & Operational Governance Oversight
- Ensure pre-deployment evaluations are executed for quality, risk, robustness, hallucination, toxicity, and compliance requirements.
- Oversee runtime monitoring for drift, policy violations, security threats, model degradation, and operational risk.
- Ensure continuous monitoring evidence is captured and routed into governance reporting and audit processes.
- Establish closed-loop governance processes that convert production issues into improved controls, policies, evaluations, and testing requirements.
Leadership Expectations
- Build and lead a cross-functional Responsible AI, AI Governance.
- Chair or co-chair enterprise AI Governance councils and executive committees.
- Influence executive leadership, regulators, clients, auditors, and technology partners on Responsible AI strategy.
- Act as Sedgwick's senior authority on Responsible AI, AI Governance, and AI risk management.
- Drive a culture that enables rapid AI innovation while maintaining trust, transparency, compliance, security, and accountability across the enterprise.
Success Measures
- Percentage of AI use cases governed through automated workflows.
- Policy compliance across AI systems and vendors.
- Audit and regulatory readiness scores.
- Reduction in governance cycle time.
- AI inventory and registration completeness.
- Number of AI systems continuously monitored through OpenLayer.
- Data quality and lineage coverage across AI workloads.
- Reduction in manual governance reviews through risk-based automation.
- Executive and client confidence in Sedgwick's Responsible AI program.
SUPERVISORY RESPONSIBILITIES
- Provides strategic leadership, direction, coaching, and development to Responsible AI, AI Governance, and related governance program teams.
- Builds, leads, and develops a high-performing organization focused on AI governance, risk management, compliance, controls, oversight, and operational excellence.
- Establishes organizational objectives, performance expectations, talent development plans, succession strategies, and resource allocation priorities.
- Oversees recruitment, selection, onboarding, performance management, and professional development of team members.
QUALIFICATIONS
Bachelor's degree in Computer Science, AI or Data Engineering. A Master’s degree is preferred.
- Fifteen (15) years of progressive leadership experience in computer science, artificial intelligence, data engineering, technology governance, risk management, compliance, or a related field.
- Significant experience leading enterprise-scale AI governance, responsible AI, model risk management, data governance, technology risk, or digital transformation programs.
- Demonstrated experience developing and operationalizing governance frameworks, control models, risk-tiering methodologies, policy standards, approval workflows, and compliance monitoring processes.
- Experience working with AI/ML systems, generative AI, foundation models, copilots, agents, automation workflows, model registries, AI inventories, and third-party AI products.
- Experience implementing or overseeing governance, risk, compliance, observability, model monitoring, model evaluation, or AI control platforms.
- Proven ability to partner with Legal, Compliance, Privacy, Risk, Security, Internal Audit, Technology, Data, and business leadership to align governance requirements across the enterprise.
- Experience preparing for audits, regulatory reviews, client inquiries, control testing, evidence collection, governance reporting, and executive-level risk reviews.
- Demonstrated experience leading cross-functional teams, executive governance councils, committees, or enterprise-wide transformation initiatives.
- Experience managing vendor relationships, technology platforms, product roadmaps, contract renewals, and strategic partnerships preferred.
- Experience in a highly regulated industry or complex global enterprise environment preferred.
Sedgwick is an Equal Opportunity Employer and a Drug-Free Workplace.
If you're excited about this role but your experience doesn't align perfectly with every qualification in the job description, consider applying for it anyway! Sedgwick is building a diverse, equitable, and inclusive workplace and recognizes that each person possesses a unique combination of skills, knowledge, and experience. You may be just the right candidate for this or other roles.
See all 8,399+ VP Of AI Jobs
Sign up for free to unlock all listings, filter by visa type, and get alerts for new VP Of AI roles.
Get Access To All JobsTips for Finding VP Of AI Jobs
Lead with measurable AI outcomes
USCIS and hiring teams both want evidence of impact. Quantify model performance gains, revenue driven by AI products, or team scale. Concrete metrics strengthen your H-1B petition and distinguish you from other senior candidates.
Target companies with AI as a core product
Companies where AI is central to the business, not just a supporting function, are far more likely to sponsor. They have established immigration counsel, faster internal approval processes, and stronger incentive to secure visa status for critical leadership hires.
Understand the O-1A path
VP-level AI candidates with publications, speaking engagements, open-source contributions, or industry awards may qualify for O-1A extraordinary ability. It has no lottery and no annual cap, making it a strong alternative if H-1B selection is uncertain.
A graduate degree significantly helps
Most VP of AI roles require a master's or Ph.D. in computer science, machine learning, or a related field for specialty occupation classification. A strong advanced degree narrows the USCIS definition of the role and reduces the risk of an RFE.
Frame your experience around team leadership, not just technical depth
VP roles require demonstrating managerial authority over AI teams, not just hands-on model building. Petitions that clearly separate executive scope from individual contributor work are more persuasive to USCIS reviewers assessing specialty occupation status.
Ask about EB-1C intent early
Some companies hiring for VP of AI roles are open to sponsoring EB-1C green cards, which are reserved for multinational executives and managers. If you have prior leadership tenure at a related entity abroad, raise this pathway with the employer before accepting an offer.
Frequently Asked Questions
Does a VP of AI role qualify as a specialty occupation for H-1B purposes?
Generally yes, but the petition needs to show the role requires a specific bachelor's degree or higher in a relevant field, not just any degree. USCIS scrutinizes senior leadership titles carefully, so the job description must emphasize the technical depth required, not just managerial responsibility. Roles at companies where AI is the core product tend to have stronger petitions.
What visa types do employers typically sponsor for VP of AI positions?
H-1B visa is the most common starting point, but O-1A is increasingly used for candidates with a strong public profile in AI, such as publications, conference presentations, or open-source work with demonstrated community adoption. EB-1C immigrant visa sponsorship is also possible for candidates who previously led AI teams at a related entity outside the U.S.
Is a Ph.D. required to get H-1B sponsorship as a VP of AI?
A Ph.D. is not strictly required, but it strengthens the specialty occupation argument considerably. A master's degree in computer science, machine learning, or a related technical field is the more common baseline. Candidates without a graduate degree typically need extensive, well-documented experience in a directly related technical discipline to support the petition.
How can I find VP of AI jobs that offer visa sponsorship?
Most senior AI leadership roles that include sponsorship are not widely advertised as such, since companies vary in how they disclose immigration support in job postings. Migrate Mate filters specifically for roles that offer visa sponsorship, so you can focus on VP of AI openings at companies that have already committed to supporting international candidates.
Can a VP of AI on H-1B status change employers without losing status?
Yes. H-1B portability allows you to start working for a new employer as soon as the new H-1B petition is filed, provided your current status is valid and there was no gap in authorized employment. The new employer must file a new cap-exempt H-1B petition before your last day, and you should not let your status lapse between roles.
What is the prevailing wage requirement for sponsored VP Of AI 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.