Principal AI Platform Engineer - AI Center of Excellence

Mastercard
Virginia, New York, Washington
Workplace: HybridFull timeUSD 195,000 - 323,000 annuallyFunction: DevOps, Cloud & InfrastructureEducation: bachelorsSkills: ["Strategic thinking","Executive communication","Stakeholder management","Data-driven decision-making","Vendor evaluation"]

Build and scale next-generation AI infrastructure to support Mastercard’s growing AI workloads. Own the AI infrastructure roadmap for an on-prem/private cloud environment and act as a product owner translating AI and data science needs into scalable platform capabilities for predictive ML and generative/agentic AI. Lead RFI/RFP evaluation for compute, storage, and networking components, architect high-performance training and low-latency inference platforms, and partner with security, governance, and MLOps teams.

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FursaFursa
Mastercard
Mastercard
1 month ago

Principal AI Platform Engineer - AI Center of Excellence

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Build and scale next-generation AI infrastructure to support Mastercard’s growing AI workloads. Own the AI infrastructure roadmap for an on-prem/private cloud environment and act as a product owner translating AI and data science needs into scalable platform capabilities for predictive ML and generative/agentic AI. Lead RFI/RFP evaluation for compute, storage, and networking components, architect high-performance training and low-latency inference platforms, and partner with security, governance, and MLOps teams.
Location: Virginia, New York, Washington
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Sr. Manager level

Key Responsibilities

  • •Lead the AI infrastructure roadmap for on-prem/private cloud, covering strategy, design, procurement, delivery, installation, and lifecycle management.
  • •Translate business and data science needs into scalable AI platform capabilities for predictive ML and generative/agentic AI workloads.
  • •Architect and scale infrastructure for training large-scale predictive and generative models on petabytes of data and supporting low-latency inference.
  • •Lead RFI/RFP processes for AI infrastructure components (CPU, GPU, storage, networking) and drive fact-based vendor selection decisions.
  • •Partner with data science, MLOps, and platform teams and collaborate with security, governance, compliance, and legal to meet regulatory and ethical AI standards.

Pay and Benefits

Salary: USD 195,000 - 323,000 annually
Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

  • •Bachelor’s degree in Computer Science, Electronics, or a related engineering field.
  • •Significant experience in large-scale infrastructure, platform engineering, or systems architecture in complex enterprise environments.
  • •Experience owning infrastructure roadmaps and driving delivery in on-prem/private cloud environments at scale.
  • •Strong working knowledge of AI/ML concepts, data science workflows, MLOps practices, and model lifecycle management.
  • •Deep understanding of compute (CPU/GPU), high-performance storage, and networking technologies for modern AI platforms.
Experience:AIData scienceMLOpsEnterprise infrastructure
Education:Bachelor's in Computer Science, Electronics, or a related engineering field
Skills:Strategic thinkingExecutive communicationStakeholder managementData-driven decision-makingVendor evaluation
Tech Stack:AI/MLMLOpsGenerative AIAgentic AIComputeCPUGPUHigh performance storageNetworkingPrivate cloudLiquid cooling

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
Glassdoor
Glassdoor: 4.1
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