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 - Agentic Systems
Who is Mastercard?
Mastercard is a global technology company in the payments industry, building digital platforms that securely power commerce at global scale. Our technology enables innovation across financial services, data, AI, and digital experiences, while maintaining the highest standards of reliability, security, and trust.
Business & Market Insights (B&MI) is Mastercard’s data, analytics, and intelligence organization, responsible for transforming vast, global data assets into actionable insights and decision support products for customers across industries. B&MI builds platforms and products that move beyond static analytics, embedding AI, advanced modeling, and increasingly agentic systems directly into customer workflows to help clients understand what is happening, what will happen next, and what actions to take. The team operates at global scale, partnering closely with product, engineering, and data teams to deliver secure, governed, and production ready intelligence solutions that drive measurable business outcomes.
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Overview
Mastercard is seeking a Senior Software Engineer (Level 7) with experience designing and building agentic systems, treating AI agents as production software components rather than experimental artifacts.
In this role, you will focus on building the platform, orchestration, and runtime capabilities that allow AI agents and tools to execute safely and observably inside market-facing products. You will partner closely with AI Engineers but retain ownership of system level concerns such as identity, authorization, attribution, reliability, and operational controls.
This role is ideal for engineers who excel in building distributed systems and are motivated by applying those fundamentals to modern AI driven architectures.
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Role & Responsibilities
As a Senior Software Engineer – Agentic Systems, you will:
• Design and build scalable, resilient software systems that orchestrate AI agents, tools, and services within enterprise environments.
• Treat agents as execution primitives, ensuring each action is explicitly attributable, authorized, auditable, and observable.
• Implement orchestration patterns such as supervisors, routers, planners, and stateful workflows for multi step agent execution.
• Build frameworks for tool invocation, error handling, retries, and compensating actions in agent driven workflows.
• Integrate identity, permissions, and policy enforcement directly into agent execution paths.
• Ensure systems meet Mastercard standards for reliability, security, compliance, and performance.
• Collaborate with AI Engineers to integrate models and prompts as components within larger systems.
• Own operational aspects of agentic platforms, including logging, monitoring, tracing, and incident response.
• Review code, mentor peers, and contribute to shared engineering standards and architectural decisions.
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Required Experience & Skills
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
• Significant professional experience building distributed, production grade software systems.
• Strong proficiency in backend software development (e.g., Java, Kotlin, Python, or similar).
• Experience designing APIs, services, and asynchronous workflows.
• Deep understanding of authentication, authorization, and secure service to service communication.
• Experience operating systems with high reliability, availability, and regulatory requirements.
• Ability to work effectively in ambiguous problem spaces and evolve systems iteratively.
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Nice to Have
• Experience building systems that integrate LLMs or AI services.
• Familiarity with agent frameworks, workflow engines, or orchestration platforms.
• Experience designing audit friendly, policy driven platforms.
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Leveling & Scope
This role aligns to Senior Software Engineer (Level 7) within Mastercard’s Software Engineering job family, emphasizing technical leadership, architectural contribution, and ownership of complex systems without people management responsibilities.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
