Senior AI Engineer

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

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realise their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview

The CNPF Data & AI organisation is looking for a Senior AI Engineer to contribute hands-on to the delivery of applied AI and agentic capabilities across our platforms. This role sits at the intersection of software engineering, machine learning engineering, and applied data science, with a strong focus on building and operating production-grade AI systems. This is a senior individual contributor role. You will work closely with Applied AI, Data Science, and Product teams to help take AI solutions from experimentation through to secure, scalable production - bringing strong engineering rigour and a collaborative mindset to everything you build.

Role

Develop and contribute to AI and agentic systems across the full lifecycle from design through production deployment

Build and operate ML/AI services, pipelines and APIs using strong software engineering practices

Implement ML engineering capabilities including model serving, monitoring, evaluation and retraining

Partner with data scientists to productionise models and experiments efficiently

Contribute to data preparation, feature engineering, experimentation and modelling as needed

Participate in technical design reviews and support knowledge sharing across engineering and data science teams

Ensure AI solutions meet Mastercard standards for performance, reliability, security and governance

Collaborate with platform, security, and infrastructure teams to ship responsibly at scale

All about you

Solid experience as a hands-on AI engineer, ML engineer, or software engineer working on production AI systems

Strong foundations in software engineering, system design, and distributed systems

Practical experience productionising machine learning models and supporting their operation at scale

Comfortable working across data engineering, ML engineering, and applied data science tasks

Familiarity with large-scale data platforms and modern ML/AI tooling

Good problem-solving skills with the ability to navigate ambiguous requirements

Collaborative and communicative, able to work effectively across functions and disciplines

What Makes You Stand Out

You have contributed to AI or agentic applications running in real production environments

Hands-on experience with agent-based or LLM-powered systems beyond simple POCs

Good instincts for reliability, observability, and failure handling in AI systems

Ability to move between engineering execution and applied modelling depending on what the problem needs

Eagerness to grow technically and contribute positively to the engineering culture around you

Corporate Security Responsibility

Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organisation and therefore it is expected that the successful candidate 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

• Complete all mandatory security trainings in accordance with Mastercard’s guidelines

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.