Lead AI platform Engineer (DevOps)

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 platform Engineer (DevOps) Who is Mastercard? 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 payment 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. Our decency quotient (DQ) drives our culture and everything we do inside and outside our company. We cultivate an environment where individuals can thrive, collaborate, and contribute to innovations that power the global economy.

The AI Platform Engineering team is responsible for building, operating, and evolving Mastercard's enterprise AI platforms and capabilities. Our mission is to provide scalable, secure, and reliable AI infrastructure that enables teams across Mastercard to accelerate the development and deployment of AI-powered solutions. As a Lead AI Engineer, you will help design, implement, and operate the foundational platforms that support AI and machine learning workloads across the enterprise. You will work at the intersection of platform engineering, cloud infrastructure, MLOps, and AI operations to deliver enterprise-grade capabilities that enable teams to safely develop, deploy, observe, and scale AI solutions. This team functions as an enterprise AI Platform Engineering organization, delivering and operating shared AI capabilities that enable application teams to build AI-powered products at scale across public and private cloud environments.

As a Lead AI Engineer, AI Platform Engineering, you will contribute to the architecture, engineering, automation, and operational excellence of Mastercard's AI platforms. You will collaborate with software engineers, data scientists, infrastructure teams, security partners, governance organizations, and business stakeholders to build scalable AI services that support a growing portfolio of AI use cases. The ideal candidate combines strong software engineering and cloud platform expertise with experience supporting AI and machine learning systems in production environments. You are passionate about automation, reliability, customer enablement, operational excellence, and building platforms that empower others to innovate.

Design, build, and operate enterprise AI platforms supporting machine learning, generative AI, and advanced analytics workloads. Engineer scalable solutions across public and private cloud environments, ensuring security, reliability, availability, and performance. Build and automate platform capabilities that simplify onboarding, deployment, operations, and lifecycle management for AI solutions. Develop and maintain infrastructure, tooling, and services that support model training, evaluation, deployment, monitoring, and governance. Implement and enhance MLOps capabilities that enable repeatable, scalable, and secure AI development workflows. Design and maintain observability solutions, including telemetry, performance monitoring, logging, alerting, operational analytics, and drift detection. Support production AI platforms and services, proactively identifying opportunities to improve reliability, scalability, efficiency, and customer experience.