Vice President, AI Software Engineering (Toronto)

Vice President, AI Software Engineering (Toronto)

03 Aug
|
Mission+
|
Toronto

03 Aug

Mission+

Toronto

Vice President, AI Software EngineeringOverviewMastercard 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 RoleThis 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 new product development

Lead the delivery of complex, cross‑functional software applications with AI native approach and mindset

Partner with product teams to define and refine nascent product constructs

Develop deep working knowledge of data assets, analytics, and infrastructure to implement scalable data‑oriented applications

Manage teams to design,



build, test, and release high‑quality software applications leveraging AI tooling and processes

Mentor and grow talent‑dense teams to a high degree of AI native development proficiency

Leverage and improve best practices for an AI‑native SDLC, including design, architecture, development, code reviews, testing, deployment, and release

Coach teams on best practices for leveraging AI across the SDLC

Bring a strong and evolving perspective on AI team structures and processes, with a willingness to experiment and pivot

Hands‑on experience building 0->1 applications using Generative AI, LLMs, and/or agentic patterns

Proven experience leading high‑performing teams on customer facing software applications

Strong data fluency and proficiency with data technologies (e.g., Databricks)

Strong software engineering experience building scalable, maintainable production systems

Robust backend engineering skills in Java and/or Python and frontend experience with React or Next.js

Strong track record of growing and developing high performing talent

Strong business acumen and proven ability to apply technology to solve business problems

All About YouThrives on creating innovative products and technology solutions in a collaborative, fun environment

Hands‑on, curious, and comfortable working in fast‑moving environments

Passionate about leading and growing people and teams to their highest potential

Uses AI as part of daily engineering practice

Brings both engineering depth and a product mindset

Cares about developer experience, quality, and reuse

Communicates clearly and works well across functions

Enjoys learning, experimenting, and helping raise the bar for others

Ability to explain technical problems clearly and succinctly to diverse audiences

Equal Opportunity EmployerMastercard 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.

Pay RangesToronto, Canada: $208,000 - $333,000 CAD

📌 Vice President, AI Software Engineering (Toronto)
🏢 Mission+
📍 Toronto

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