Principal AI Engineer

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 AI Engineer

Overview

We are seeking a highly accomplished Principal AI Engineer to define and drive the technical direction of our AI platforms and solutions. This role is focused on architecting, building, and scaling production-grade AI systems that deliver durable business impact. As a senior technical authority, you will lead through deep hands-on expertise, influence technical strategy across teams, and raise the engineering bar for AI development across the organization.

The ideal candidate combines exceptional engineering depth with strong system design skills, applied research experience, and the ability to guide complex AI initiatives from conception through global-scale production

Role

As a Principal AI Engineer, you will be responsible for designing, implementing, and operating advanced AI systems that support critical business and client needs in a scalable, secure, and reliable manner. You will partner closely with product, engineering, and data leaders to translate business intent into robust AI architectures and platforms.

This role prioritizes technical leadership over people management, with impact achieved through architecture ownership, technical decision-making, and mentorship of senior engineers and data scientists.

All About You

Demonstrated experience designing and building AI/ML systems in production at scale, ideally across multiple problem domains

Expert-level proficiency in Python and deep experience with modern AI frameworks such as PyTorch and TensorFlow

Strong experience with cloud-native architectures and AI infrastructure on platforms such as AWS, Azure, or GCP

Deep understanding of machine learning, deep learning, NLP, generative AI, and transformer-based architectures (e.g., BERT, GPT-style models, ViTs)

Proven expertise in MLOps, including model versioning, deployment strategies, monitoring, evaluation, and lifecycle management

Strong systems-thinking mindset, with experience designing resilient, scalable, and cost-efficient AI services

Experience working with large-scale data architectures, streaming and batch processing, and model inference optimization

Excellent communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders

Track record of technical mentorship and influence without relying on formal line management

Comfortable operating in high-ambiguity environments and making sound technical judgments with incomplete information

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.