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Senior AI Engineer

Mastercard

Senior AI Engineer

Mastercard

Toronto, Canada

·

On-site

·

Full-time

·

1mo ago

Benefits & Perks

Remote work flexibility

Learning and development stipend

Parental leave program

Flexible PTO policy

Required Skills

Python

TensorFlow

PyTorch

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

Senior AI Engineer:

About Mastercard

Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses worldwide. We are driving the future of commerce by enabling secure, simple, and smart transactions. Artificial Intelligence is at the core of our strategy to make Mastercard stronger and commerce safer, smarter, and more personal.

Role Overview:

At Mastercard, we are building the next generation of AI-powered platforms that drive innovation, efficiency, and impact. As a Senior AI Engineer, you will work hands-on with cutting-edge AI tools, large language models (LLMs), and emerging frameworks to develop intelligent systems that power our platform. You'll collaborate closely with senior engineers, data scientists, and product teams-learning from experts while contributing to real-world AI applications.
You will be responsible for implementing Agentic AI systems, developing backend services to support them, and experimenting with new AI capabilities. You will also focus on prompt engineering, guardrail design, and running experiments to ensure safe, effective, and scalable AI solutions.

  • Key Responsibilities
  • Agentic AI Development
  • Build and enhance AI agents and backend systems that power Mastercard's AI platform.
  • Experimentation & Evaluation
  • Test and evaluate new LLMs, emerging AI technologies, and frameworks to identify opportunities for innovation.
  • Prompt Engineering
  • Design, refine, and optimize prompts for LLMs to achieve desired outputs.
  • Guardrail Development
  • Implement safeguards to ensure AI responses are accurate, secure, and aligned with ethical guidelines.
  • Backend Engineering
  • Contribute to the development of APIs, microservices, and data integrations for AI-powered features.
  • Best Practices in Software Development
  • Write clean, maintainable, and well-documented code following industry standards.
  • Continuous Learning
  • Stay current with the latest developments in AI, LLMs, and software engineering best practices.
  • About You
  • Strong hands-on experience with AI/ML concepts, with a passion for working with LLMs and generative AI.
  • Professional hands-on experience with Python and backend development frameworks (e.g., FastAPI, Flask, Node.js).
  • Understanding of REST APIs and cloud environments (AWS, Azure, or GCP).
  • Strong problem-solving and analytical skills, with curiosity for exploring new AI capabilities.
  • Comfortable working in a collaborative environment and open to feedback and mentorship.
  • Eagerness to learn prompt engineering, AI safety/guardrail development, and large-scale AI deployment.
    Why Join Us?
    At Mastercard, you'll help shape the future of AI in global commerce-solving complex problems at scale, enabling financial inclusion, and ensuring the security and trust that define our brand.
    #AI1
    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 reasonable_accommodation@mastercard.com 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.

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About Mastercard

Mastercard

A financial network that processes payments between banks and cardholders

10,001+

Employees

Purchase

Headquarters

$360B

Valuation

Reviews

4.1

15 reviews

Work Life Balance

4.0

Compensation

3.5

Culture

3.5

Career

3.0

Management

3.0

65%

Recommend to a Friend

Pros

Good work-life balance reputation

Competitive compensation packages

Strong benefits and perks

Cons

Recent layoffs and job insecurity

Limited negotiation flexibility on salary

No RSUs for some positions

Salary Ranges

32 data points

L5

L6

L7

L9

Director

L5 ·

0 reports

$231,000

total / year

Base

-

Stock

-

Bonus

-

$196,350

$265,650

Interview Experience

7 interviews

Difficulty

3.3

/ 5

Duration

14-28 weeks

Offer Rate

29%

Experience

Positive 0%

Neutral 86%

Negative 14%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Interview

4

Behavioral Interview

5

Final Round/Super Day

6

Offer Decision

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

System Design

Past Experience