Senior AI Engineer-1

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-1

Who is Mastercard?

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 individuals, financial institutions, governments, and businesses realize their greatest potential.

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

• 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

• 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 periodic mandatory security trainings in accordance with Mastercard's guidelines.