Senior Principal AI Engineer – AI Center of Excellence

Mastercard

. Define the technical vision, architecture, and engineering standards for enterprise AI infrastructure and platforms .

Posted 10/8/2026full-timeUnited StatesSenior💰 $254,000 - $407,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and operating secure, mission-critical AI infrastructure and platforms, with a strong focus on high-performance computing, distributed systems, and cloud technologies. Proven ability to lead complex technical initiatives while ensuring compliance, security, and operational readiness.

Highest-signal resume keywords

AI EngineeringHigh-Performance Computing (HPC)KubernetesInfrastructure AutomationSecurity and Compliance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Architecture DesignMachine Learning WorkloadsLarge Language Models (LLM)Performance EngineeringDistributed Systems

Soft Skills

Strong CommunicationMentoring SkillsCross-Functional Collaboration

Tools & Technologies

Private CloudHybrid CloudHigh-Speed NetworkingStorage Solutions

Certifications & Qualifications

Bachelor’s Degree in Computer ScienceBachelor’s Degree in EngineeringBachelor’s Degree in Information SystemsBachelor’s Degree in Data Science

Industry Keywords

AI InfrastructureGovernanceObservabilityResiliencyOperational Readiness

Tech Stack

Tools & technologies

CloudDistributed SystemsKubernetes

About the role

Key responsibilities & impact

Define the technical vision, architecture, and engineering standards for enterprise AI infrastructure and platforms
Lead the architecture and evolution of HPC, GPU and accelerated compute, rack-scale systems, private and hybrid cloud, Kubernetes, high-performance networking, storage, and AI platform services
Design infrastructure supporting LLM training and inferencing, model serving, machine learning workloads, agentic AI orchestration, and emerging AI capabilities
Solve complex infrastructure, performance, and scalability challenges through hands-on architecture, prototyping, performance engineering, and troubleshooting
Establish engineering patterns for reliability, resiliency, observability, automation, capacity management, security, and operational readiness
Embed security, privacy, Responsible AI, governance, compliance, and auditability into AI infrastructure by design
Evaluate emerging AI, HPC, GPU, networking, storage, and infrastructure technologies and influence enterprise architecture and platform roadmaps
Lead complex cross-functional technical initiatives and mentor engineers through architecture reviews, engineering standards, reference designs, and knowledge sharing
Collaborate with AI Engineers, Data Scientists, Platform Engineers, Security, Architecture, and Product partners

Requirements

What you’ll need

Experience in AI engineering, high-performance computing, platform engineering, infrastructure engineering, distributed systems, cloud technology, or related disciplines
Proven experience architecting and operating secure, mission-critical platforms at enterprise scale
Deep expertise in HPC, GPU/accelerated computing, rack-scale systems architecture, Kubernetes, private and hybrid cloud, high-speed networking, storage, and infrastructure automation
Experience supporting LLM training and inferencing, machine learning models, large language models, agentic AI, and production AI platforms
Strong knowledge of distributed systems, SRE, observability, resiliency, security, governance, compliance, and production operations
Ability to lead complex architecture and engineering initiatives through technical expertise, influence, and cross-functional collaboration
Strong communication and mentoring skills with the ability to engage senior stakeholders and elevate technical expertise across engineering teams
Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline
Must abide by Mastercard’s security policies and practices
Must ensure confidentiality and integrity of accessed information
Must report suspected information security violations or breaches
Must complete periodic mandatory security trainings

Benefits

Comp & perks

Annual bonus or commissions may be available depending on the role
Medical, prescription drug, dental, vision, disability, and life insurance
Flexible spending account and health savings account
16 weeks of new parent leave
Up to 20 days of bereavement leave
80 hours of Paid Sick and Safe Time
25 days of vacation time
5 personal days
10 annual paid U.S. observed holidays
401k with a best-in-class company match
Deferred compensation for eligible roles
Fitness reimbursement or on-site fitness facilities
Eligibility for tuition reimbursement