Principal AI Platform Engineer – AI Center of Excellence

About the role

The AI Center of Excellence is seeking a Principal AI Platform Engineer to build and scale next‑generation infrastructure that supports Mastercard’s growing AI workloads. This role focuses on enabling high‑performance, scalable platforms across compute, storage, networking and accelerators, empowering both predictive machine‑learning and generative AI initiatives.

Key responsibilities

• Lead AI infrastructure roadmap for Mastercard’s on‑premise private cloud, covering strategy, design, procurement, delivery and lifecycle management.
• Act as product owner, translating data‑science and business requirements into scalable platforms for predictive ML and generative/agentic AI workloads.
• Drive RFI/RFP processes for CPUs, GPUs, storage and networking, defining technical and commercial criteria and collaborating with sourcing and finance.
• Architect and scale infrastructure to train large‑scale predictive and generative models on petabytes of data while supporting low‑latency inference for thousands of transactions per second globally.
• Define and champion modern AI infrastructure standards, including high‑performance storage, high‑speed networking, liquid‑cooling and power requirements.

Required profile

• Deep technical expertise in AI infrastructure and cloud environments.
• Proven experience leading large‑scale AI platform projects.
• Strong ability to work cross‑functionally with data‑science, engineering and finance teams.
• Innovative, builder mindset with a focus on scalability and performance.

Required skills

• CPU and GPU architecture
• High‑performance storage solutions
• High‑speed networking
• Liquid‑cooling and data‑center power management
• AI infrastructure design for predictive machine learning and generative AI
• Large‑scale model training and low‑latency inference