Principal 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 Principal AI Engineer Overview: Mastercard Foundry is a global innovation group focused on the evolution of technology and consumer trends and how these changes impact the payments and commerce industry. Foundry is a collective of interdisciplinary teams powering Mastercard's ability to create and deliver differentiated products, services, and experiences. Within Foundry, the global Research and Development (R&D) team conducts applied research on emerging technologies to create innovative products for Mastercard. Foundry R&D is made up of talented, passionate developers, engineers, scientists, designers, researchers, data specialists, and program managers. We build knowledge in emerging technologies like agentic AI, generative AI and machine learning to conceptualize and create new products and services, which we then market test with our customers. We also bring the knowledge of cutting and bleeding edge technology to create concepts of the future which not only inspires our customers but also fosters the culture of innovation within Mastercard. To support this range of projects we are looking for a talented Principal AI Engineer to join the Mastercard Foundry R&D team in our Dublin TechHub. Role As a Principal AI Engineer at Mastercard, you will be a key member of our AI delivery team, responsible for designing, building, and scaling AI microservices that transform proof-of-concept (PoC) notebooks into robust, production-ready components. Working closely with data scientists, MLOps engineers, and cross-functional partners, you will enable the seamless integration of AI services into the broader Mastercard ecosystem. This role offers a unique opportunity to bridge engineering and AI best practices in Applied AI. Key Responsibilities • AI Microservice Design: Design and lead implementation of AI-powered microservices (e.g., ML, agentic AI) with a focus on modularity, scalability, and reusability to support diverse business units and solutions. • Productionalization: Transition AI models and agentic workflows from notebook-based PoCs to production-grade components, ensuring performance, reliability, and maintainability. • API Development: Design and lead implementation of robust APIs for AI microservices to facilitate seamless integration within the Mastercard ecosystem. • Quality Assurance: Lead the development of testing strategies (unit, integration, performance) to ensure the accuracy, stability, and quality of deployed AI services. • Performance Optimization: Identify and address bottlenecks in AI microservices and infrastructure, optimizing for latency, throughput, and cost efficiency. • Pipeline Development: Work with data science and infrastructure teams to design reusable workflows (e.g., feature engineering, model & agent optimization, evaluation pipelines). • Cross-Functional Collaboration: Partner with data scientists, MLOps engineers, product owners, and external stakeholders to translate business requirements into technical specifications. • Technology Innovation: Research and evaluate emerging technologies (e.g., LLMs, frameworks, methodologies) to enhance AI software development and large-scale data processing capabilities. • Compliance & Ethics: Ensure all AI microservices adhere to Mastercard’s security standards, compliance policies, and ethical AI principles, while contributing to AI engineering best practices. Qualifications • Education: Bachelor’s degree in Computer Science, Engineering ... (truncated, view full listing at source)