Mastercard
Fintech · Card network
- HQ
- Purchase, US
- Founded
- 1979
- Size
- 35,000+
- Website
- mastercard.com
Fintech · Card network
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 |
|---|---|---|
| Senior Software Engineer Mastercard is seeking a Senior Software Engineer to join their B&MI Technology Development team. This role focuses on delivering AI-driven capabilities by building and owning Java services and APIs that deliver AI-powered features, and developing/productionizing AI components in Python. The role involves implementing and operating AI systems in production, managing the full lifecycle from design to deployment, and mentoring other engineers. It blends deterministic systems engineering with AI engineering for probabilistic systems. | ServePost-train | 7 |
| Principal Software Engineer Principal Software Engineer at Mastercard AI & Decision Product Enablement (DPE) focused on leading architectural design and engineering excellence for enterprise-scale, high-throughput, low-latency real-time AI inferencing and decisioning platforms. The role involves deploying AI models through automated pipelines, accelerating model operations, and pioneering agentic AI capabilities, with a strong emphasis on scalability, reliability, and security for billions of daily transactions. |
| ServeAgent |
| 7 |