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

Lead AI engineerWho is Mastercard?

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 Lead AI Engineering Engineer to drive hands‑on 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 emphasis on building production‑grade AI systems.

This is a senior individual contributor and technical leadership role. You will lead by example through deep hands‑on engineering, influence technical direction, and partner closely with Applied AI, Data Science, and Product teams to take AI solutions from experimentation to secure, scalable production.

Role

• Lead hands‑on development of AI and agentic systems from design through production deployment
• Build and operate ML/AI services, pipelines, and APIs using strong software engineering practices
• Design and implement ML engineering capabilities such as model serving, monitoring, evaluation, and retraining
• Partner with data scientists to productionise models and experiments efficiently
• Contribute directly to data preparation, feature engineering, experimentation, and modelling when required
• Drive technical design reviews and provide mentorship to engineers and data scientists
• Ensure AI solutions meet Mastercard standards for performance, reliability, security, and governance
• Collaborate closely with platform, security, and infrastructure teams to ship responsibly at scale

All about you

• Strong experience as a hands‑on AI engineer, ML engineer, or senior software engineer working on production AI systems
• Solid foundations in software engineering, system design, and distributed systems
• Proven experience productionising machine learning models and operating them at scale
• Comfortable working across data engineering, ML engineering, and applied data science tasks
• Experience with large‑scale data platforms and modern ML/AI tooling
• Strong problem‑solving skills and ability to work with ambiguous requirements
• Ability to influence technical direction without formal people management responsibility
• Clear communication skills and comfort collaborating across functions
What Makes You Stand Out
• You have built and operated AI or agentic applications that run in real production environments
• Hands‑on experience implementing agent‑based or LLM‑powered systems beyond simple POCs
• Strong intuition for reliability, observability, and failure handling in AI systems
• Ability to move fluidly between engineering execution and applied modeling when needed
• Track record of raising the technical bar for teams through code, design, and mentorship

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.

Mastercard

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Lead AI engineer