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AI Engineer , Launch Program – St. Louis, MO

Job in O'Fallon, St. Charles County, Missouri, 63366, USA
Listing for: Mastercard Inc.
Full Time position
Listed on 2026-10-19
Job specializations:
  • Software Development
    AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 85000 - 115000 USD Yearly USD 85000.00 115000.00 YEAR
Job Description & How to Apply Below

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 AI Engineer I, Launch Program 2027 – St. Louis, MO, US

Why join Mastercard’s Launch Program?

Throughout this 18-month program, you'll develop the ability to connect ideas, people, and markets to drive commercial impact. Through hands‑on experiences, cross‑functional projects, and structured learning opportunities, you'll gain exposure to multiple areas of Mastercard's business while building broad business acumen and a global perspective. You'll collaborate with teams across functions, contribute to strategic initiatives, and strengthen the skills needed to solve complex business challenges.

This experience will help you build a well-rounded commercial mindset and prepare you for a variety of career paths across Mastercard's global organization.

About the team

The Technology Regulatory and Market Compliance (TRMC) organization is a business enabler and industry leader of technology and security risk management practices, supported by a multi-disciplinary team of top security, technology, and risk professionals. The team is responsible for working with, and demonstrating to, our stakeholders (e.g., regulators, customers, Mastercard businesses) how Mastercard complies with our promises, commitments, and obligations and also as a member of the front-line risk organization.

We do this by translating regulatory and customer requirements into actionable information and demonstrating how Mastercard standard/controls meet and/or exceed these expectations.

As an entry-level AI Engineer for Technology Regulatory Resilience, you will help design, build, and improve AI-enabled solutions that change how Mastercard meets and demonstrates compliance with global technology and resilience regulations. Working alongside experienced engineers and regulatory subject matter experts, you will apply generative AI, machine learning, and automation to connect regulatory obligations to controls, products, and evidence.

The ideal candidate is a recent graduate who is passionate about AI, eager to learn about risk & controls, and excited to turn classroom and project experience into real-world, production-ready solutions. This is an excellent launchpad for an early-career technologist. You will gain hands‑on experience across the full AI solution lifecycle, from prototyping and testing to deployment and continuous improvement, while receiving mentorship, structured learning, and exposure to high-visibility work at the intersection of artificial intelligence, regulatory technology, and operational excellence.

  • Currently enrolled in a Bachelor’s or accelerated Master’s degree, with an anticipated graduation date between April 2027 and June 2027
  • Demonstrated software development experience with a strong interest in applying Artificial Intelligence (AI) technologies to solve business and technical challenges.
  • Hands‑on experience using multiple AI platforms and tools through academic coursework, personal projects, research, or internships, such as Claude, Microsoft Copilot, Google Gemini, Deep Seek, or similar technologies.
  • Experience designing, developing, or enhancing applications that leverage AI or machine learning capabilities.
  • Knowledge of AI/ML concepts, methodologies, and best practices, with the…
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