Senior AI Engineer

Senior AI Engineer

Overview: 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.

Role

• Lead hands on development of AI and agentic systems from design through production deployment.
• Build and operate ML/AI services, pipelines, and APIs using strong software engineering practices.
• Design and implement ML engineering capabilities such as model serving, monitoring, evaluation, and retraining.
• Partner with data scientists to productionize models and experiments efficiently.

All About You

• Strong experience as a hands on AI engineer, ML engineer, or senior software engineer working on production AI systems.
• Solid foundations in software engineering, system design, and distributed systems.
• Proven experience productionizing machine learning models and operating them at scale.
• Comfortable working across data engineering, ML engineering, and applied data science tasks.
• Experience with large scale data platforms and modern ML/AI tooling.
• Strong problem solving skills and ability to work with ambiguous requirements.
• Ability to influence technical direction without formal people management responsibility.
• Clear communication skills and comfort collaborating across functions.

What Makes You Stand Out

• You have built and operated AI or agentic applications that run in real production environments.
• Hands on experience implementing agent based or LLM powered systems beyond simple POCs.
• Strong intuition for reliability, observability, and failure handling in AI systems.
• Ability to move fluidly between engineering execution and applied modeling when needed.
• Track record of raising the technical bar for teams through code, design, and mentorship.
• Contribute directly to data preparation, feature engineering, experimentation, and modeling when required.
• Drive technical design reviews and provide mentorship to engineers and data scientists.
• Ensure AI solutions meet Mastercard standards for performance, reliability, security, and governance.
• Collaborate closely with platform, security, and infrastructure teams to ship responsibly at scale.

Corporate Security Responsibility

• 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.
• Complete all mandatory security trainings in accordance with Mastercard's guidelines.