Senior AI Engineer

Mastercard; Bray (OK); On-site; USD 130,000 - 190,000; Full time

Job summary

Mastercard is seeking 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 production-grade AI systems.

You will work closely with Applied AI, Data Science, and Product teams to bring AI solutions from experimentation into secure, scalable production environments.

Qualifications

• 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.
• Familiarity with large-scale data platforms and modern ML/AI tooling.
• Good problem-solving skills with the ability to navigate ambiguous requirements.

Responsibilities

• 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.

Skills

Hands-on AI engineer

Software engineering

MLOps

Data platforms

Problem solving

Collaboration

Production AI

LLM systems

Observability

Flexibility

Growth mindset

Job description

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

Senior AI Engineer
Who 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 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.