Backend Engineering: Develop robust backend services, APIs, and event-driven architectures that enable enterprise-scale AI workloads, real-time orchestration, and secure platform operations.
API & Developer Experience: Design and implement API-first platform capabilities, SDKs, and reusable frameworks that simplify the development, deployment, and governance of AI applications.
Performance & Reliability: Identify and resolve bottlenecks across AI systems and agentic workflows, improving scalability, resilience, latency, cost efficiency, and operational reliability.
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Model Deployment and Integration: You will oversee deploying these AI models into production environments and integrating them seamlessly with applications (in partnership with software and data engineers).
R&D and Continuous Learning: Stay abreast of the latest developments in AI and especially generative AI. As part of Foundry R&D, you are expected to continuously explore emerging technologies (e.g. new model architectures, multimodal AI, agent-driven automation) and assess their potential impact on our products. You'll drive a culture of innovation by experimenting with advanced techniques (like retrieval-augmented generation, knowledge-grounded LLMs) and championing their adoption where they add value.
Abide by Mastercard’s security policies and practices;
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Model Deployment and Integration: You will oversee deploying these AI models into production environments and integrating them seamlessly with applications (in partnership with software and data engineers).
R&D and Continuous Learning: Stay abreast of the latest developments in AI and especially generative AI. As part of Foundry R&D, you are expected to continuously explore emerging technologies (e.g. new model architectures, multimodal AI, agent-driven automation) and assess their potential impact on our products. You'll drive a culture of innovation by experimenting with advanced techniques (like retrieval-augmented generation, knowledge-grounded LLMs) and championing their adoption where they add value.
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
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Define and implement safe tool-use patterns: structured outputs, robust error handling, permissioning and auditability, human-in-the-loop (HITL) approval steps for sensitive actions, and guardrail enforcement.
Establish end-to-end AgentOps/LLMOps practices for agentic systems: release pipelines for prompts/tools/policies, canary strategies, safe rollback mechanisms, and continuous regression/safety evaluations as release gates.
Build and optimize data ingestion, preprocessing, feature/embedding engineering, and retrieval/memory workflows to improve grounding quality and reduce failure modes.
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