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 63% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $156k–$265k (avg $211k).
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 |
|---|---|---|
| Agentic AI - Senior Software Engineer Senior Software Engineer to join the Agentic AI Engineering team, focusing on applying Generative and Agentic AI to real products, platforms, and developer workflows. The role involves building tooling, services, and reusable patterns to enable experimentation, validation, and scaling of AI-enabled solutions across Mastercard. Requires strong engineering fundamentals, a product-building mindset, and practical understanding of AI systems. | Agent | 8 |