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.
Currently tracking 3 active AI roles, down 64% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$265k (avg $211k).
Mastercard currently has 7 active AI-related roles in our index. The most common open titles are: Senior Software Engineer (2), Foundry R&D Software Engineer II, Lead Software Engineer, Manager, Software Engineering, Principal Software Engineer. Most positions are in Engineering.
Mastercard's active AI hiring is concentrated in: serving infrastructure (43%), application (29%), agents (29%). 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 (4 roles), Ireland (3 roles).
Job postings at Mastercard most frequently reference: model serving, inference infra, agent orchestration, fine tuning, tool use.
In the past 30 days, Mastercard has posted 11 new AI-related roles. That is a -35% change versus the prior 30 days (17 → 11).
| Title | Stage | AI score |
|---|---|---|
| Senior Software Engineer (Full-stack Java+React) Mastercard's Dynamic Yield is seeking a Full-stack Engineer in Lisbon to build innovative end-user experiences. The role involves designing and implementing scalable real-time systems, analyzing data sources, and writing clean, modular code. Requires 5+ years of backend experience with Java and JavaScript (Spring Boot, React.js), experience with distributed systems, databases (SQL, Redis, DynamoDB, Postgres), containerization (Docker, Kubernetes), messaging technologies (Kafka), and AWS cloud. Strong problem-solving and collaboration skills are essential. | — | 0 |
| Senior Software Engineer (Full-stack Node+React) Mastercard's Dynamic Yield is seeking a Full-stack Engineer in Lisbon to build innovative end-user experiences. The role involves designing and implementing scalable real-time systems, analyzing multiple data sources, and writing clean, modular code. Requires 5+ years of backend experience with Node.js and React, strong problem-solving skills, and familiarity with distributed systems, databases (SQL, NoSQL), containerization (Docker, Kubernetes), messaging technologies, and AWS. |
| 0 |