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 - Backend/Platform Agentic AI Senior Software Engineer focused on building and operating a first-party AI platform with agentic, conversational, and generative AI capabilities for enterprise analytics products. The role involves end-to-end development of agentic AI systems, defining technical direction, building AI-enabled services, and ensuring production-grade infrastructure, scalability, reliability, and adherence to governance and Responsible AI standards within a regulated environment. | Agent | 8 |
| Software Engineer II - Backend/Platform Agentic AI Software Engineer II - Backend/Platform Agentic AI role at Mastercard, focused on building and operating a first-party AI platform for analytics products. The role involves writing code daily, owning components end-to-end, and shipping production-grade AI-enabled services within a multi-tenant, customer-facing platform. Key responsibilities include implementing agentic workflows, integrating LLM-powered capabilities, and operating AI systems in production. | Agent | 8 |
| 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 |
| Lead Technical Program Manager Lead Technical Program Manager for an internal AI & Decision Product Enablement platform that powers intelligent, data-driven decision-making across market-facing financial products. The role involves driving execution of AI-driven and agent-based solutions, ensuring alignment between product, engineering, and finance stakeholders, and delivering high-impact capabilities. | Agent | 7 |
| 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 |
| 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 |
| Director, Software Engineering Director of Software Engineering for Mastercard Foundry R&D in Singapore, leading teams to explore emerging technologies like Generative AI and Agentic Systems, build prototypes, and deliver pilot solutions. The role involves people leadership, technical guidance, and driving innovation in a fast-paced R&D environment. | Agent | 7 |
| Director, AI Product Definition & Execution Director to redefine and modernize the Product Management Technical (PMT) operating model by applying an AI-first lens to how product intent is shaped, refined, and delivered to engineering. This role will redesign how product ideas become buildable software by owning the operating model, the PMT practices, decision frameworks, and AI-enabled workflows that drive clarity, speed, and predictability across the engineering organization. Success will be measured by improved delivery outcomes, higher backlog readiness, reduced iteration churn, fewer clarification cycles, stronger engineering trust, and more predictable execution. | Agent | 7 |
| Vice President Product Management-Technical Vice President of Product Management-Technical to lead technical product strategy for Mastercard’s AI Decisioning Foundations, shaping and owning the technical product vision for scalable, reliable, and secure AI decisioning capabilities used across various fraud and network services. This role involves building a coherent vision and strategy for foundational components powering AI-driven decisions, leading a global PMT organization, and partnering with engineering, architecture, and data science leaders. | ShipServe | 7 |
| Director Product Management - AI Strategy & Solutions Delivery Director of Product Management responsible for AI strategy and solutions delivery within Mastercard's global digital and authentication network. The role focuses on bridging technical AI delivery with commercial business outcomes, moving AI from pilots to core operations like fraud prevention and agentic commerce. Key responsibilities include developing the AI roadmap, overseeing AI model deployment, identifying AI use cases, defining data requirements for model training, establishing AI governance, and partnering with various teams to integrate AI features. | ShipAgent | 7 |
| Director of Data Science (AdTech) Director of Data Science for Mastercard's AdTech platform, focusing on leading ML initiatives for advertising products like targeting, bidding, ranking, and attribution. The role involves strategy, development, deployment, and mentorship, with a strong emphasis on production systems and ethical AI. | AgentServe | 7 |