Principal Software Architect, AI

Posted Yesterday
Be an Early Applicant
Toronto, ON, CAN
Hybrid
154K-247K Annually
Expert/Leader
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
We are a global technology company in the payments industry.
The Role
Lead architecture and productionalization of AI-native, large-scale, data-oriented product concepts. Design scalable solutions, implement AI systems with observability and cost optimization, establish responsible AI practices, and coach engineering teams across the product development lifecycle.
Summary Generated by Built In
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
Principal Software Architect, AI
Overview:
Mastercard is looking for a talented Principal Software Architect to join the Mastercard Foundry Research and Development team in our Toronto location. In this role you will be part of 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:
As an architect on the R&D team, you will be at the forefront of the design of complex, large-scale data-oriented new product concepts. 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 work on lean, high-performance pods to architect software solutions to rapidly evolving product concepts which heavily leverage Mastercard and other datasets. The team will rapidly experiment with and iterate on AI native ways of working. The team will rapidly experiment with and iterate on AI native ways of working.
We are looking for someone with deep experience designing large-scale customer-facing applications with significant data dependencies and significant experience leveraging AI in software architecture.
Responsibilities of the role include:• Design highly scalable solution architectures for complex, early-stage product concepts across technology stacls, data platforms, and environments• Be a cultural influencer in use, adoption, and innovation of AI in solution architecture and software engineering through all phases of the product development lifecycle• Provide technical leadership on projects to architect, design, implement, deploy, and release complex applications, interfaces, and integrations• Contribute significantly to the technical strategy and lead implementation of the architecture of Data Platforms in Foundry R&D• Lead the productionalization of AI systems including observability, evaluation, and cost optimization• Establish best practices for responsible AI, ensuring compliance, explainability and data privacy• Coach teams on technical best practices and use of AI across the PDLC
All About You:• Hands on experience architecting and building 0 -> 1 applications using Generative AI, LLMs, or agentic patterns• Expertise leading the architecture, design, implementation, and release of complex products and applications• Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (e.g., LangGraph, OpenAI Agents SDK, or Codex SDK)• Expertise in cloud platforms such as Databricks, Snowflake, AWS, and Azure• Knowledge of AI/ML, data analytics, and data product development with emphasis on data quality, data privacy, and localization• Uses AI as part of daily engineering practice• Brings both engineering depth and a product mindset• Proficiency with Java, Spring Boot, React, Typescript, Postgres and other object-oriented languages, front-end frameworks, and database technologies• Strong business acumen and ability to apply technology to solve business problem• Excellent verbal and written communication and cross-functional collaboration skills• Proven track record as a highly effective technical mentor
Mastercard 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 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.

In line with Mastercard's total compensation philosophy and assuming that the job will be performed in Canada, the successful candidate will be offered a competitive pay based on location, experience and other qualifications for the role and may be eligible to participate in a discretionary annual incentive program. This posting reflects one or more current openings on our team.
Pay Ranges
Toronto, Canada: $154,000 - $247,000 CAD

Skills Required

  • Hands-on experience architecting and building 0->1 applications using Generative AI, LLMs, or agentic patterns
  • Experience leading architecture, design, implementation, deployment, and release of complex customer-facing products
  • Experience with modern AI frameworks and SDKs for agent orchestration or coding-agent workflows (e.g., LangGraph, OpenAI Agents SDK, Codex SDK)
  • Expertise with cloud platforms such as Databricks, Snowflake, AWS, and Azure
  • Knowledge of AI/ML, data analytics, and data product development with emphasis on data quality, data privacy, and localization
  • Proficiency with Java, Spring Boot, React, TypeScript, and Postgres
  • Strong business acumen, excellent verbal and written communication, and cross-functional collaboration skills
  • Proven track record as a technical mentor and ability to coach teams on technical best practices

What the Team is Saying

Jenny
Mastercard
Am I A Good Fit?
beta
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company
HQ: Purchase, NY
38,800 Employees
Year Founded: 1966

What We Do

Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient 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.

Why Work With Us

We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.

Gallery

Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery
Gallery

Mastercard Teams

Team
Technology
Team
Cybersecurity and Threat Intelligence
Team
Consulting
Team
AI and Data
About our Teams

Mastercard Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.

Typical time on-site: 3 days a week
Company Office Image
HQPurchase, NY
Arlington, VA
Company Office Image
Atlanta, GA
Bogotá, CO
Boston, MA
Chicago, IL
Company Office Image
Dublin, Dublin
Gurugram, Gurugram
Company Office Image
London, GB
Company Office Image
Miami, FL
Mumbai, Maharashtra
Company Office Image
New York, NY
Company Office Image
O'Fallon, MO
Company Office Image
Pune, Maharashtra
Ramat Gan, IL
Company Office Image
Saint Leonards, St Leonards
San Francisco, CA
São Paulo, SP
Seattle, WA
Singapore, SG
Company Office Image
Toronto, Ontario
Vancouver, BC
Learn more

Similar Jobs

Mastercard Logo Mastercard

Vice President, Product Management

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Toronto, ON, CAN
38800 Employees
200K-320K Annually

Mastercard Logo Mastercard

Specialist, Solutions Operations - Agent Suite

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Toronto, ON, CAN
38800 Employees

Mastercard Logo Mastercard

Manager, Product Management- Go To Market

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Toronto, ON, CAN
38800 Employees
121K-169K Annually

Mastercard Logo Mastercard

Senior Specialist, Product Development

Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Hybrid
Toronto, ON, CAN
38800 Employees
94K-138K Annually

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account