Mastercard
All Teams
AI and Data
At Mastercard, our AI and Data teams set direction, build shared capabilities, and work side-by-side with cross-functional teams to scale AI and data responsibly across the organization. They help solve challenges that cut across products, regions, and customer needs. Examples include: - building AI systems that support safer, smarter, and more personal commerce - developing shared data platforms and lakehouse capabilities to accelerate innovation - improving data discoverability, quality, and lifecycle management - advancing AI deployment, monitoring, and operations at enterprise scale - supporting new AI ideas through a structured AI intake and prioritization process
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Mastercard Employee Perspectives
What People Are Saying About Mastercard
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Values & Integrity: Responsible AI is embedded in AI Engineering workflows, with codified Data Responsibility Principles, human‑in‑the‑loop practices, and security‑by‑default governance shaping model design and deployment. This creates clear guardrails for building safe, auditable systems at payments scale.
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Learning & Development: AI Engineering teams have access to structured upskilling via Unlocked, AI Takeover/Discovery Days, workshops, and guilds, alongside internal copilots and assistants that encourage hands‑on experimentation. These programs enable mobility across platform, risk, and product work while deepening skills in GenAI and MLOps.
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Mission & Purpose: Work centers on safeguarding global commerce—fraud/risk decisioning, cybersecurity, and real‑time payments—where improvements are immediately felt by banks, merchants, and consumers. Engineers see high‑stakes impact as models operate with low latency, strong observability, and global SLAs.
Recently posted jobs
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Monitor and respond to production alerts, troubleshoot distributed applications, improve reliability, and reduce recovery times. Support deployments and CI/CD pipelines across environments, automate operational tasks, analyze ITSM activities, and identify resiliency gaps. Collaborate globally with development, operations, and product teams, contribute to incident response and blameless postmortems, maintain service health monitoring, and mentor junior team members while advancing DevOps practices.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Build tooling, services, and reusable patterns to apply Generative and Agentic AI across Mastercard. Design and implement AI-enabled applications, evaluate models and frameworks, improve developer experience, and partner with stakeholders to prototype and scale production solutions.
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
Leads the planning, architecture, development, and delivery of scalable software solutions for global customers. Drives AI and emerging-technology innovation from concept through production, champions automation across the software delivery lifecycle, and ensures secure, resilient, maintainable systems. Collaborates with engineering, data, product, operations, and customer teams; provides technical leadership for customer integrations; and improves platform performance, reliability, and adoption.
