Our PurposeMastercard 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 SummaryVice President, AI Software Engineering Overview: Mastercard is looking for a talented VP, AI Software Engineering to join the Mastercard Foundry Research and Development team in Toronto. In this role you will be leading a highly agile, AI native development team building innovative large-scale software platforms and solutions from ideation to release. Our team is built on a foundation of research and development, mining innovation internally, innovating new product lines with emerging technology, managing new products from inception to market validation and engaging strategically with start-ups to shape the future of commerce with and for our customers. At Mastercard you will help define the future of commerce globally.About the Role: This is a hands-on role for an engineer who is deeply engaged in using Generative and Agentic AI through the full product development lifecycle. You will lead lean, high-performance pods to develop and refine product constructs, build functional prototypes, and build, test, and deploy large-scale applications in the payment's ecosystem, supported by AI tooling and agentic capabilities. You will experiment with team structures, processes, and tooling to establish AI native ways of working to deliver high-quality software at an accelerated pace. We are looking for someone with deep experience leading high-performing teams on customer facing software applications, strong engineering fundamentals,



a product-building mindset, a practical understanding of the patterns and trade-offs behind modern AI systems, and a sense of curiosity to experiment and drive new ways of working.ResponsibilitiesDrive the engineering vision and strategy for large-scale data-oriented recent product developmentLead the delivery of complex, cross-functional software applications with AI native approach and mindsetPartner with product teams to define and refine nascent product constructsDevelop deep working knowledge of data assets, analytics, and infrastructure to implement scalable data-oriented applicationsManage teams to design, build, test, and release high-quality software applications leveraging AI tooling and processesMentor and grow talent-dense teams to a high degree of AI native development proficiencyLeverage and improve best practices for an AI-native SDLC, including design, architecture, development, code reviews, testing, deployment, and releaseCoach teams on best practices for leveraging AI across the SDLCBring a strong and evolving perspective on AI team structures and processes, with a willingness to experiment and pivotHands on experience building 0-> 1 applications using Generative AI, LLMs, and/or agentic patternsProven experience leading high-performing teams on customer facing software applicationsStrong data fluency and proficiency with data technologies (e.G., Databricks)Strong software engineering experience building scalable,



maintainable production systemsStrong backend engineering skills in Java and/or Python and frontend experience with React or Next.JsStrong track record of growing and developing high performing talentStrong business acumen and proven ability to apply technology to solve business problemsAll About YouThrives on creating innovative products and technology solutions in a collaborative, fun environmentHands-on, curious, and comfortable working in fast-moving environmentsPassionate about leading and growing people and teams to their highest potentialUses AI as part of daily engineering practiceBrings both engineering depth and a product mindsetCares about developer experience, quality, and reuseCommunicates clearly and works well across functionsEnjoys learning, experimenting, and helping raise the bar for othersAbility to explain technical problems clearly and succinctly to diverse audiencesMastercard 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 [email protected] 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 ResponsibilityAbide 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, andComplete all periodic mandatory security trainings in accordance with Mastercard's guidelines.Pay RangesToronto, Canada: $208,000 - $333,000 CAD

📌 Software Engineering Smts (Toronto)
🏢 Mastercard
📍 Toronto