Currently tracking 3 active AI roles, down 63% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$265k (avg $211k).
Mastercard currently has 16 active job listings related to artificial intelligence. The majority of these roles, 50%, are focused on serving infrastructure. Engineering is the primary function for these AI positions, with the United States being the top hiring country. Frequent technical tags include model serving, agent orchestration, and inference infrastructure, suggesting a focus on deploying and managing AI models. In the last 30 days, Mastercard has posted 23 new AI roles, representing a 667% increase from the previous 30-day period.
Mastercard currently has 11 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (3), Foundry R&D Software Engineer II, Lead Software Engineer, Lead Technical Program Manager, Manager, Software Engineering. Most positions are in Engineering.
Mastercard's active AI hiring is concentrated in: agents (45%), serving infrastructure (36%), application (18%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Mastercard is hiring AI talent in: United States (7 roles), Ireland (3 roles), Singapore (1 role).
Job postings at Mastercard most frequently reference: model serving, inference infra, agent orchestration, rag, guardrails.
In the past 30 days, Mastercard has posted 5 new AI-related roles. That is a -79% change versus the prior 30 days (24 → 5).
| Title | Stage | AI score |
|---|---|---|
| Manager, Software Engineering Manager of Software Engineering for the Mastercard Authentication team, focusing on enhancing and modernizing payments services. The role involves leading multiple scrum teams, defining and delivering strategic initiatives, providing technical leadership in Java, microservices, and event-based applications, and ensuring the development of a global technology platform with a focus on performance, security, and reliability. A key aspect is driving AI augmented development and integrating AI agents with enterprise tools. | Ship | 5 |
| Lead Software Engineer Lead Software Engineer to drive the architecture, design, and development of a next-generation experimentation platform, incorporating Generative AI (GenAI) into software products and/or the software development lifecycle. Focus on building advanced, cloud-native services and modern frameworks on AWS/Azure, leveraging Databricks and Spark for data analytics and transformations. Role involves technical leadership, mentoring engineers, and ensuring high engineering standards for scalability, performance, security, and reliability. |
| Ship |
| 5 |