MastercardVice President- AI, Center of Excellence
Mastercard is hiring a Vice President- AI, Center of Excellence in San Francisco, United States. Level rates it ; you can apply on Level.
AI in this role
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, 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, Center of ExcellenceVice President, AI Engineering - AI CoEMastercard | AI Center of Excellence
Our Purpose:
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. 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.
Overview:
The AI Center of Excellence is seeking a Vice President, AI Engineering - AI CoE to lead the delivery and scale of enterprise AI products, agentic AI solutions, and new and evolving AI capabilities across Mastercard.
This is a people manager role leading a global AI Engineering organization responsible for moving AI from experimentation to production-grade, reusable products and capabilities. The Vice President will focus on AI engineering delivery and execution, translating business priorities into AI solutions, shared capabilities, and measurable outcomes while ensuring security, reliability, governance, and operational excellence.
About the Role:
• Lead end-to-end AI engineering delivery from solution design through development, production deployment, adoption, and value realization.
• Build and scale reusable AI assets, agent patterns, multi-agent orchestration, workflow automation, shared components, and new and evolving AI capabilities that accelerate delivery and reduce duplication.
• Drive execution against prioritized business needs, ensuring AI initiatives deliver measurable business value.
• Partner across AI Platform Engineering, Infrastructure, Data, Security, Architecture, Risk, Product, and business teams to deliver secure, scalable enterprise AI solutions.
• Own production readiness, including reliability, resiliency, observability, scalability, lifecycle management, and operational performance.
• Embed Responsible AI, security, privacy, governance, compliance, and auditability throughout the AI engineering lifecycle.
• Drive adoption and measure product performance, customer impact, productivity, risk reduction, and business outcomes.
• Lead and develop a global organization of AI engineering leaders, architects, and AI engineers, building talent, accountability, and engineering excellence.
All About You:
• Years of leadership experience in AI engineering, software or product engineering, or enterprise technology delivery.
• Proven success delivering and scaling enterprise AI products, agentic AI applications, intelligent automation, or mission-critical digital platforms.
• Strong technical understanding of agentic AI, generative AI, large language models (LLMs), multi-agent orchestration, workflow automation, and new and evolving AI capabilities.
• Experience with hybrid cloud and cloud-native architectures, distributed systems, APIs, enterprise integration, and modern AI engineering.
• Experience leading production technology in highly regulated environments with accountability for security, resiliency, governance, compliance, and risk.
• Demonstrated ability to drive complex, cross-functional engineering delivery and execution at enterprise scale.
• Proven people leadership experience, including leading leaders, building high-performing global engineering organizations, coaching and developing talent, and driving accountability.
• Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related field required; master’s degree preferred.
#AI1Mastercard 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.
Pay Ranges
San Francisco, California: $254,000 - $407,000 USDAtlanta, Georgia: $212,000 - $339,000 USDBoston, Massachusetts: $244,000 - $390,000 USDMiami, Florida: $212,000 - $339,000 USDNew York City, New York: $254,000 - $407,000 USDO'Fallon, Missouri: $212,000 - $339,000 USDPurchase, New York: $244,000 - $390,000 USDRemote - New York: $212,000 - $339,000 USDSeattle, Washington: $244,000 - $390,000 USDJob Posting Window
Posting windows may change based on the volume of applications received and business necessity. Candidates are encouraged to apply expeditiously.How we rate this
Vice President- AI, Center of Excellence at Mastercard rates 8 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
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Skills and AI tools this role asks for
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- Tell me about a workflow you automated with AI tools, end to end.
- How do you think about the risk of an AI system in this kind of role failing silently?
Adapt your resume
- List these exact terms on your resume: AI Automation and AI Safety. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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