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 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 realize 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 (Our Team) As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. The Optimization Solutions team focuses on tracking digital performance across products and regions, understanding factors influencing performance and the broader industry landscape, and delivering data-driven insights and recommendations. We engage directly with key stakeholders to implement optimization solutions (new and existing) and partner across the organization to drive alignment and action. If you’re excited about data assets, passionate about data-driven decision-making, and want to build large-scale analytical capabilities used across global markets, this is the role for you. ________________________________________ The Role As a Senior AI Engineer, you will architect, develop, and deploy AI/ML solutions that generate actionable insights for product optimization and sales enablement. You will work with global stakeholders across geographies, develop reusable and scalable models, and partner with engineering teams to productionize AI capabilities. This role emphasizes end-to-end ownership: problem definition → data & feature pipelines → modelling → evaluation → deployment → monitoring & iteration—with strong attention to governance, privacy, and operational excellence aligned to Mastercard standards. ________________________________________ Key Responsibilities AI/ML Solution Development & Innovation • Architect, build, and maintain AI/ML systems to solve business problems, including predictive modelling and decisioning solutions for optimization use cases • Prototype new algorithms, run experiments, evaluate performance against agreed metrics, and deliver production-ready insights and models • Translate ambiguous business challenges into measurable ML objectives; simplify complex technical requirements to align with stakeholder needs. Data Engineering Foundations for AI • Perform data ingestion, aggregation, processing, and feature engineering on high-volume, high-dimensional datasets to enable reliable training and inference • Apply benchmarking, measurement, and metric design to validate model impact and support decision-making. Reusable & Scalable AI (Patterns + Microservices) • Identify common use-case patterns and promote scalable AI delivery via reusable models, shared components, and a microservice approach. • Drive the evolution of AI-enabled products by improving model robustness, latency, and maintainability. Productionization, MLOps & Operational Excellence • Deploy models into production in partnership with technical teams; design scalable training/inference pipelines and deployment frameworks • Auto ... (truncated, view full listing at source)