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Vp Ai Jobs (NOW HIRING)

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

The VP, AI & Applications leads the intelligence layer of Karman - the algorithms, control methods, and optimization techniques that turn microsecond-resolution measurement data into closed-loop ...

VP- AI Ops Engineer

Charlotte, NC · On-site

$155K - $165K/yr

As a VP- AI Ops Engineer, you will be part of the Platform Engineering department supporting AI and GenAI platform operations. The ideal candidate will demonstrate strong leadership, adaptability ...

VP, AI & Applications

Ann Arbor, MI · Remote

$230K - $290K/yr

The VP, AI & Applications leads the intelligence layer of Karman -- the algorithms, control methods, and optimization techniques that turn microsecond-resolution measurement data into closed-loop ...

VP, AI Platform Engineer

Charlotte, NC · On-site

$150K - $165K/yr

As a VP, AI Platform Engineer, you will be part of the Platform Engineering department supporting innovative AI initiatives. The ideal candidate will demonstrate strong leadership, technical ...

The VP, AI Solutions will serve as ATLAS's forward deployed engineer (FDE) to the firm's business desks - CRE, Residential, Auto/Equipment, Transportation, Energy, Infrastructure, Fund Finance, and ...

VP, AI Innovation

New York, NY · On-site

$151K - $194K/yr

The VP, AI Solutions will serve as ATLAS's forward deployed engineer (FDE) to the firm's business desks - CRE, Residential, Auto/Equipment, Transportation, Energy, Infrastructure, Fund Finance, and ...

We are seeking a VP, AI Business Transformation to serve as the orchestrator of this transformation - translating strategy into execution while shaping the operating model, governance and ...

Position Title: VP, AI Acceleration Location: Austin, TX; Denver, CO Your Role Digital Realty is seeking a Vice President, AI Acceleration to lead the enterprise-wide adoption and execution of AI ...

Position Title: VP, AI Acceleration Location: Austin, TX; Denver, CO Your Role Digital Realty is seeking a Vice President, AI Acceleration to lead the enterprise-wide adoption and execution of AI ...

As Vice President of AI, you will lead the development and execution of AI-powered capabilities across iSpot's customer-facing product portfolio, with responsibility spanning our Creative, Audience ...

As Vice President of AI, you will lead the development and execution of AI-powered capabilities across iSpot's customer-facing product portfolio, with responsibility spanning our Creative, Audience ...

As Vice President of AI, you will lead the development and execution of AI-powered capabilities across iSpot's customer-facing product portfolio, with responsibility spanning our Creative, Audience ...

VP, AI

Bellevue, WA · On-site

$200 - $250/hr

As Vice President of AI, you will lead the development and execution of AI-powered capabilities across iSpot's customer-facing product portfolio, with responsibility spanning our Creative, Audience ...

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Vp Ai information

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$43.5K

$157.5K

$277.5K

How much do vp ai jobs pay per year?

As of Sep 7, 2026, the average yearly pay for vp ai in the United States is $157,532.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,000.00 and $190,000.00 per year, depending on experience, location, and employer.

What does a VP of AI do?

A VP of AI (Vice President of Artificial Intelligence) is a senior executive responsible for overseeing the strategy, development, and implementation of AI initiatives within an organization. They lead AI teams, manage projects, and ensure that AI solutions align with business goals. Their role also includes staying up-to-date with advancements in AI technology, collaborating with other departments, and ensuring ethical and effective deployment of AI systems.

What are some common challenges faced by a VP of AI when integrating AI solutions across different business units?

A VP of AI often encounters challenges related to aligning AI initiatives with the distinct goals and workflows of various business units. These can include resistance to change, data silos, and varying levels of AI literacy among teams. Effective communication and collaboration are key, as the VP must bridge the gap between technical teams and business stakeholders, ensuring AI projects deliver tangible value while adhering to ethical and compliance standards. Additionally, prioritizing projects and managing expectations are essential to drive successful AI adoption organization-wide.

What are the key skills and qualifications needed to thrive as a VP of AI, and why are they important?

To thrive as a VP of AI, you need deep expertise in artificial intelligence, machine learning, and data science, often supported by an advanced degree in computer science or a related field. Familiarity with AI development frameworks, cloud platforms, and data engineering tools, along with proven experience managing large-scale AI initiatives, is essential. Leadership, strategic vision, and excellent communication are critical soft skills for aligning teams and driving innovation across the organization. These skills enable effective oversight of AI projects, ensure alignment with business goals, and foster a culture of continuous improvement.

What cities are hiring for Vp Ai jobs?

Cities with the most Vp Ai job openings:

What are the most commonly searched types of Ai jobs?

The most popular types of Ai jobs are:

What states have the most Vp Ai jobs?

States with the most job openings for Vp Ai jobs include:

Infographic showing various Vp Ai job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $157,532 per year, or $75.7 per hour.

Vice President, AI Vulnerability Operations

MasterCard

O Fallon, MO • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago


Job description

Our Purpose

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build asustainableeconomy where everyone can prosper. We support a wide range of digital payments choices, making transactionssecure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Title and Summary

Vice President, AI Vulnerability OperationsVice President, AI Vulnerability Operations
About the Role
We are transforming vulnerability management for the AI era. Frontier models and agentic systems are changing the speed, scale, and economics of vulnerability discovery, creating new defensive opportunities and operational demands. This role leads the organization responsible for turning AI-discovered vulnerabilities into measurable enterprise risk reduction.
As Vice President, AI Vulnerability Operations, you will lead the enterprise AI-Powered Vulnerability Command Center, owning strategy, operating model, governance, and global execution for continuous vulnerability detection and response. You will build a high-performing organization that integrates AI-driven detection, triage, prioritization, and coordinated response across development and runtime environments, connecting technical findings to accountable remediation across engineering, infrastructure, platform, application security, risk, and business teams.
This is a senior leadership role for someone who can set enterprise direction, scale operating discipline, influence senior stakeholders, and drive outcomes through teams. The VP will lead the charge to make AI Vulnerability Operations a durable, trusted, measurable function embedded into how the company manages technology risk.
The mandate is to move beyond experimentation and establish a 24/7 command center capability that continuously identifies exploitable risk, accelerates decisions, coordinates response across regions and platforms, and gives leadership clear visibility into exposure, remediation progress, and risk reduction.
What You'll Do
Enterprise Strategy & Operating Model
Set the enterprise strategy for AI Vulnerability Operations and the AI-Powered Vulnerability Command Center, including scope, priorities, governance, operating principles, global execution model, and success measures.
Define how AI-discovered vulnerabilities move from detection to validation, triage, risk prioritization, ownership assignment, coordinated response, remediation, exception handling, and verified closure.
Establish the organizational model, decision rights, escalation paths, service levels, and 24/7 operating cadence required to operate at enterprise scale.
Prioritize coverage across critical services, externally exposed assets, high-risk applications, development and runtime environments, third-party and open-source components, cloud environments, and other material technology risk areas.
Organizational Leadership & Execution
Build, lead, and develop a multidisciplinary organization spanning command center operations, technical program management, vulnerability operations, security engineering, automation, analytics, and remediation coordination.
Drive operational excellence through clear intake, triage, prioritization, case management, remediation tracking, reporting, quality control, and rapid decision-making.
Turn model-generated signal into accountable action while managing false positives, duplicate findings, noise, escalation paths, and remediation fatigue.
Develop leaders and managers, establishing a culture of urgency, discipline, technical credibility, global coordination, and partnership with engineering teams.
AI-Enabled Vulnerability Operations
Lead AI-enabled discovery and continuous vulnerability detection across source code, open-source dependencies, infrastructure-as-code, cloud configurations, applications, services, development and runtime environments, and enterprise platforms.
Partner with security architecture, application security, product security, platform engineering, infrastructure, regional technology teams, and technology leadership to embed AI vulnerability operations into delivery, monitoring, incident response, and remediation workflows.
Oversee standards for validation, severity calibration, exploitability assessment, reachability analysis, prioritization, remediation guidance, and closure verification.
Governance, Risk & Executive Engagement
Translate command center performance into executive-level risk narratives, metrics, investment priorities, and decision points.
Establish dashboards and reporting that show exposure, coverage, detection volume, triage outcomes, remediation performance, aging risk, exceptions, and progress against enterprise priorities.
Serve as a senior escalation point for major vulnerability campaigns, systemic risk themes, coordinated response actions, remediation blockers, and ownership challenges.
Represent the function with senior technology, security, risk, audit, legal, sourcing, business, regional, and platform stakeholders.
What You Bring
Required
15+ years in cybersecurity, technology risk, vulnerability management, application security, security operations, incident response, or related enterprise security leadership roles.
Experience leading large-scale security or technology risk functions with accountability for strategy, execution, operating discipline, metrics, governance, and stakeholder outcomes.
Strong understanding of vulnerability management, application security, cloud security, software supply-chain risk, remediation operations, continuous detection, response coordination, and enterprise risk prioritization.
Demonstrated ability to operationalize emerging capabilities, including AI, automation, analytics, command center operations, or advanced security tooling, into repeatable enterprise processes.
Executive communication skills, with the ability to translate complex technical risk into clear priorities, decisions, operating expectations, and tradeoffs.
Strong cross-functional influence with engineering, infrastructure, product, security, risk, audit, legal, sourcing, regional, platform, and business stakeholders.
Strongly Preferred
Experience leading vulnerability management, product security, application security, security operations, PSIRT, or software supply-chain security in a large enterprise.
Experience using AI, machine learning, automation, or agentic workflows to improve security operations, vulnerability discovery, triage, or remediation.
Background in a regulated, high-assurance environment such as financial services, payments, government, healthcare, or critical infrastructure.
Familiarity with CVSS, EPSS, KEV, OWASP, MITRE ATT&CK, NIST, secure software development practices, and software supply-chain risk frameworks.
Track record building new enterprise capabilities, influencing senior stakeholders, and improving measurable risk outcomes across complex organizations.
What Success Looks Like in the First 12 Months
Approved enterprise strategy and operating model for AI Vulnerability Operations and the AI-Powered Vulnerability Command Center, with clear scope, governance, roles, metrics, escalation paths, and executive sponsorship.
Staffed and functioning 24/7 command center capability that continuously detects, intakes, validates, triages, prioritizes, assigns, tracks, and drives AI-discovered vulnerabilities through coordinated response and verified closure.Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.

Corporate Security Responsibility


All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:

  • Abide by Mastercard's security policies and practices;

  • Ensure the confidentiality and integrity of the information being accessed;

  • Report any suspected information security violation or breach, and

  • Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.

Pay Ranges

O'Fallon, Missouri: $212,000 - $339,000 USD