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 |
|---|---|---|
| Software Engineer II Mastercard is seeking an AI/ML Data Engineer II to design, build, and operationalize graph-driven ML solutions. This role focuses on building and scaling knowledge graphs, developing data pipelines, and implementing ML pipelines for training, validation, deployment, and serving of graph-based ML models. The role requires a strong background in Machine Learning Engineering and Data Engineering, with specialization in graph-based systems. | DataPost-train | 7 |
| Senior Data Engineer Senior Data Engineer for the AI Ops team, responsible for designing, building, and operating analytics and data engineering solutions that provide operational visibility, insight, and proactive intelligence across enterprise infrastructure, applications, and services. This role focuses on integrating data from diverse operational sources, enabling high-quality dashboards and metrics, and supporting AI-driven operational use cases that improve reliability, performance, and decision-making. |
| Data |
| 5 |
| Senior Data Scientist Mastercard is seeking a Senior Data Scientist to develop and drive data-driven open banking solutions, focusing on affordability/credit decisioning and identity/income verification. The role involves applying data science techniques to large datasets, building interactive dashboards, supporting customer trials, and contributing to team methods for prototyping and governance. Experience with time series, NLP, and solution deployment is required, preferably within financial services. | Data | 5 |