Mastercard

4 weeks ago

Vice President, AI Software Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: 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

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Mastercard

4 weeks ago

Vice President, AI Software Engineering

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

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

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

Glassdoor: 4.1

Website LinkedIn Glassdoor