Agentic AI - Lead Software Engineer

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

Agentic AI - Lead Software Engineer

Overview
Mastercard Foundry R&D is seeking a Lead Software Engineer to join the Agentic AI Engineering team.

This is a hands-on role for an engineer who is deeply engaged in applying Generative and Agentic AI to real products, platforms, and developer workflows. You will help build the tooling, services, and reusable patterns that enable teams across Mastercard to experiment, validate, and scale AI-enabled solutions.

We are looking for someone with strong engineering fundamentals, a product-building mindset, and a practical understanding of the patterns and trade-offs behind modern AI systems.
Responsibilites
• Build software, tooling, and platform capabilities that support Mastercard’s Agentic AI strategy
• Design and implement AI-enabled applications, workflows, and developer-facing capabilities
• Develop reusable services, patterns, and integrations for AI and agentic systems
• Evaluate models, frameworks, and tools across quality, cost, latency, reliability, and maintainability
• Contribute to new product and prototype development from concept through validation
• Improve developer experience through automation, AI-assisted workflows, and platform thinking
• Partner with product, engineering, and business stakeholders to turn ideas into working solutions
• Advocate learnings, prototypes, and best practices across the organization

Experience
• Hands-on experience building applications or systems using Generative AI, LLMs, or agentic patterns
• Experience with one or more modern AI frameworks and SDKs for agent orchestration, AI application development, or coding-agent workflows (for example LangGraph, OpenAI Agents SDK, Vercel AI SDK, or Codex SDK)
• Strong understanding of orchestration, tool-calling, context management, and AI system design trade-offs
• Strong software engineering experience building scalable, maintainable production systems
• Experience with React and/or Next.js
• Strong backend engineering skills in Java and/or Python
• Experience with developer tooling, automation, CLI-based workflows, and CI/CD
• Familiarity with containers, cloud-native development, and service integration patterns
• Experience building products, prototypes, and/or internal platforms with a focus on usability and adoption

All About You
• Thrives on creating innovative products and technology solutions in a collaborative, fun environment.
• Hands-on, curious, and comfortable working in fast-moving environments
• Uses AI as part of daily engineering practice
• Brings both engineering depth and a product mindset
• Cares about developer experience, quality, and reuse
• Communicates clearly and works well across functions
• Enjoys learning, experimenting, and helping raise the bar for others
• Ability to explain technical problems clearly and succinctly to diverse audiences.

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.