Vice President, AI Software Engineering

Mastercard
Toronto
Workplace: OnsiteFull timeCAD 208,000 - 333,000 annuallyFunction: Executive & General ManagementSkills: ["Leadership","Communication","Problem-solving","Mentoring"]

Lead an AI-native software engineering team in Toronto to build large-scale, data-oriented products for Mastercard Foundry. Oversee end-to-end product development from ideation to release, applying Generative AI, LLMs, and agentic patterns, while growing high-performing talent and aligning engineering with business strategy.

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FursaFursa
Mastercard
Mastercard
2 months ago

Vice President, AI Software Engineering

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead an AI-native software engineering team in Toronto to build large-scale, data-oriented products for Mastercard Foundry. Oversee end-to-end product development from ideation to release, applying Generative AI, LLMs, and agentic patterns, while growing high-performing talent and aligning engineering with business strategy.
Location: Toronto
Workplace: Onsite
Employment Type: Full time
Job Function: Executive & General Management

Key Responsibilities

  • •Drive 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.

Pay and Benefits

Salary: CAD 208,000 - 333,000 annually

Key Requirements

  • •Deep experience leading high-performing teams on customer facing software applications with a product-building mindset.
  • •Hands-on experience building 0-1 applications using Generative AI, LLMs, and/or agentic patterns.
  • •Strong backend engineering skills in Java and/or Python and frontend experience with React or Next.js.
  • •Strong data fluency and proficiency with data technologies (e.g., Databricks).
  • •Strong business acumen and proven ability to apply technology to solve business problems.
Experience:PaymentsFinancial services
Skills:LeadershipCommunicationProblem-solvingMentoring
Languages:English
Tech Stack:JavaPythonReactNext.jsDatabricks

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
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