CareerPlanSign in

Principal AI Platform Engineer - AI Center of Excellence

Arlington, Virginia, US💼 Full-time🗓 2026-07-24 → 2026-09-27

Core

Build and scale next-generation AI infrastructure (compute, storage, networking, accelerators) to support enterprise-scale predictive ML and generative/agentic AI workloads for Mastercard.

Role type

Principal AI Platform Engineer (Infrastructure)

Builds

High-performance, scalable AI platforms for training large models and low-latency inference across global workloads.

Domain

Payments industry + AI Infrastructure

Deliverable

production ML models

Required skills

AI/ML concepts, MLOps, model lifecycle management, Generative AI, Agentic AI, CPU/GPU architecture, high-performance storage, high-speed networking, data center design (liquid cooling, power dense), RFI/RFP management, enterprise architecture, security governance

Preferred skills

Private cloud experience, executive communication, strategic vendor evaluation

Technologies

CPU, GPU, high-performance storage, high-speed networking, liquid cooling systems

Responsibilities

Lead AI infrastructure roadmap for on-premise private cloud; Act as product owner for AI infrastructure; Architect infrastructure for training large models and low-latency inference; Define modern AI infrastructure standards; Partner with data science and MLOps teams; Collaborate with security, risk, and compliance teams; Influence senior leadership on technical decisions.

Seniority

Principal, strategy & mentorship

Sourced via workday · Listed on CareerPlan, which tracks 814,000+ jobs from 20+ sources.