Senior AI Engineer
@ Mastercard

Toronto, ON
$150,000
On Site
Full Time
Posted 5 days ago

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Job Details

Our Purpose

Mastercard powers economies and empowers people in over 200 countries and territories worldwide. We support a wide range of digital payments that are secure, simple, smart, and accessible.

About Mastercard

Mastercard is a global technology company in the payments industry, connecting billions of consumers, financial institutions, merchants, governments, and businesses. Our innovative approach drives secure and smart transactions, with Artificial Intelligence at the core of our strategy.

Role Overview: Senior AI Engineer

At Mastercard, we are building the next generation of AI-powered platforms to 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, collaborating with senior engineers, data scientists, and product teams to create real-world AI applications.

Key Responsibilities

  • Agentic AI Development: Build and enhance AI agents and backend systems.
  • Experimentation & Evaluation: Test and evaluate new LLMs and emerging AI technologies.
  • Prompt Engineering: Design and optimize prompts for desired outputs.
  • Guardrail Development: Implement safeguards for ethical and secure AI responses.
  • Backend Engineering: Develop APIs, microservices, and data integrations.
  • Best Practices: Write clean, maintainable, and well-documented code.
  • Continuous Learning: Stay updated with AI and software engineering best practices.

About You

You have robust hands-on experience with AI/ML, a passion for LLMs and generative AI, and expertise in Python along with backend frameworks such as FastAPI, Flask, or Node.js. You understand REST APIs, cloud environments (AWS, Azure, or GCP), and display strong analytical and problem-solving skills. You value collaboration, mentorship, and continuous improvement.

Why Join Us?

As a Senior AI Engineer at Mastercard, you will help shape the future of AI in global commerce by solving complex problems at scale, enabling financial inclusion, and reinforcing the security integral to our brand.

Corporate Security Responsibility

All activities involving access to Mastercard assets must abide by strict security policies ensuring confidentiality, integrity, and timely reporting of any security breach. Adherence to mandatory security trainings is required.

Key skills/competency

  • Artificial Intelligence
  • Machine Learning
  • LLM
  • Python
  • Backend Development
  • FastAPI
  • REST APIs
  • Cloud Computing
  • Microservices
  • Prompt Engineering

How to Get Hired at Mastercard

🎯 Tips for Getting Hired

  • Research Mastercard's culture: Study their mission, values, and success stories online.
  • Customize your resume: Highlight AI, Python, and backend skills.
  • Showcase technical projects: Detail your AI/ML and LLM experience.
  • Prepare for interviews: Review prompt engineering and cloud concepts.
  • Follow application updates: Monitor Mastercard career pages and LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review Python and backend frameworks.
Practice REST API integration.
Study cloud environment basics.
Experiment with prompt engineering.

Behavioral Questions

Describe teamwork experiences.
Share a problem-solving scenario.
Explain how you accept feedback.
Discuss managing tight deadlines.

Frequently Asked Questions