Senior Software Engineer (Backend / Platform – Agentic AI)

Job Description

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. Title and Summary Senior Software Engineer (Backend / Platform – Agentic AI) Job Description Summary Overview Who We Are — Mastercard Mastercard is a global technology company in the payments industry, operating in over 210+ countries and territories. Our mission is to power an inclusive, sustainable, digital economy that benefits everyone, everywhere — by making transactions safe, simple, smart, and accessible. We harness secure data, world class networks, deep partnerships, and relentless innovation to help individuals, financial institutions, businesses, and governments reach their greatest potential. Our culture is guided by our Decency Quotient (DQ) — a core value that influences every decision we make and how we treat all who rely on us. About AI & Decision Product Enablement (AI&DPE) AI & Decision Product Enablement (AI&DPE) is Mastercard’s innovation engine for AI driven decisioning at global scale. We build and enhance the platforms that power real time intelligence across Mastercard’s network — enabling: • Millisecond latency decisioning • Resilient, highly available global services • Hundreds of AI models • Hundreds of thousands of business rules • 0 50+ market facing products across Mastercard Services Products that protect revenue, mitigate fraud, and empower customers worldwide AI&DPE teams ensure Mastercard delivers industry leading agility, intelligence, resiliency, and scalability in every product we build. Role: Build, enhance, and run production-grade services by taking solution blueprints from Product Engineering teams and owning end-to-end delivery—from design refinement and implementation through release, monitoring, and operational excellence. What you’ll do (Key responsibilities): • Translate product/solution blueprints into implementable technical designs and working software. • Develop and maintain microservices and APIs that are secure, resilient, observable, and testable. • Own the full SDLC: requirements refinement, design, implementation, code review, testing, CI/CD, deployment, and production support. • Build agentic workflows using LLMs and frameworks (e.g., LangChain/LangGraph), including tool-use, retrieval, and orchestration patterns. • Implement guardrails: prompt/version management, evaluation, safety checks, latency/cost controls, and fallbacks. • Improve reliability through monitoring, logging, tracing, SLO-minded operations, incident response, and post-incident fixes. • Collaborate with Product Engineering, Da

Required Skills