Senior AI Infrastructure Architect

Mastercard; Arlington (VA); On-site; USD 195,000 - 323,000; Full time

Job summary

Mastercard is seeking a Principal AI Infrastructure Engineer to build and scale next-generation AI infrastructure supporting enterprise AI workloads. You will own the on-premise private cloud roadmap, translating data science needs into scalable platform capabilities and leading RFIs/RFPs with cross-functional teams across sourcing and finance.

The role requires a deep technical background in compute, storage, networking, and accelerators, plus a product mindset to balance performance, cost, and

Qualifications

• Bachelor’s degree in Computer Science, Electronics, or a related engineering field.

Responsibilities

• Lead AI infrastructure roadmap for Mastercard’s on premise private cloud across compute, storage, networking, and accelerators.
• Act as a product owner for AI infrastructure, translating business and data science needs into scalable platform capabilities.
• Lead RFIs/RFPs for AI infrastructure components, defining evaluation criteria and driving vendor selections with sourcing and finance teams.
• Architect and scale infrastructure capable of training large scale models on petabytes of data with low-latency inference across global workloads.
• Define modern AI infrastructure standards including high-performance storage and advanced data center requirements.
• Collaborate with data science, MLOps, and platform teams to align infrastructure with model development and deployment.

Education

Bachelor’s degree in Computer Science, Electronics, or a related engineering field

Job description

Mastercard is seeking a Principal AI Infrastructure Engineer to build and scale next-generation AI infrastructure supporting enterprise AI workloads. You will own the on-premise private cloud roadmap, translating data science needs into scalable platform capabilities and leading RFIs/RFPs with cross-functional teams across sourcing and finance.

The role requires a deep technical background in compute, storage, networking, and accelerators, plus a product mindset to balance performance, cost, and