Lead AI Engineer

r strategy to make Mastercard stronger and commerce safer, smarter and more personal.

The Role:
At Mastercard, we're building next-generation AI-powered platforms to drive innovation and impact. As an AI Engineer, you'll work with cutting-edge tools, large language models (LLMs), and emerging frameworks to develop intelligent systems. You'll collaborate with senior engineers, data scientists, and product teams-gaining hands-on experience while contributing to real-world AI solutions.
You'll help implement Agentic AI systems, develop backend services, and explore new AI capabilities. Your focus will include prompt engineering, guardrail design, and experimentation to ensure safe, scalable, and effective AI applications.

Key Responsibilities
• Develop and enhance AI agents and backend systems for Mastercard's AI platform
• Evaluate LLMs and emerging technologies to identify innovation opportunities
• Design and optimize prompts for LLMs
• Implement safeguards to ensure secure, ethical AI responses
• Build APIs, microservices, and data integrations for AI features
• Write clean, maintainable code following industry best practices
• Stay current with advancements in AI and software engineering
All About You
• Basic understanding of AI/ML concepts and enthusiasm for generative AI
• Experience with Python and backend frameworks (e.g., FastAPI, Flask, Node.js)
• Knowledge of REST APIs and cloud platforms (AWS, Azure, GCP)
• Strong analytical skills and curiosity for exploring new AI capabilities
• Collaborative mindset and openness to feedback and mentorship
• Interest in prompt engineering, AI safety, and scalable deployment
Why Join Us?
At Mastercard, you'll help shape the future of AI in global commerce-solving complex challenges at scale, driving financial inclusion, and reinforcing the trust and security that define our brand. You'll work with world-class talent, cutting-edge technologies, and will make a lasting impact.

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.