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About the Role

The AI Center of Excellence is seeking a Senior Principal AI Engineer - AI Infrastructure to serve as a technical expert and thought leader for Mastercard's enterprise AI infrastructure. This senior individual-contributor role will shape the architecture and engineering of secure, scalable, production-grade platforms supporting LLM model training and inferencing, machine learning models, large language models (LLMs), agentic AI, and emerging AI capabilities in production.

Responsibilities

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.

Requirements

Years of 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.
Demonstrated 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.
Abide by Mastercard's security policies and practices.
Ensure the confidentiality and integrity of the information being accessed.
Report any suspected information security violation or breach.
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.

Skills

AI engineering
High-performance computing (HPC)
Platform engineering
Infrastructure engineering
Distributed systems
Cloud technology
GPU and accelerated computing
Rack-scale systems architecture
Private and hybrid cloud
Kubernetes
High-performance networking
Storage
Observability
Security
Reliability
LLM model training and inferencing
Machine learning models
Large language models (LLMs)
Agentic AI
SRE
Resiliency
Governance
Compliance
Production operations
Technical expertise
Influence
Cross-functional collaboration
Communication
Mentoring

Location

San Francisco, California
Atlanta, Georgia
Boston, Massachusetts
Miami, Florida
New York City, New York
O'Fallon, Missouri
Purchase, New York
Remote - New York
Seattle, Washington

Work Type

Remote

Experience Level

Senior Principal

Education Level

Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; advanced degree preferred.

Salary/Compensations

San Francisco, California: $254,000 - $407,000 USD
Atlanta, Georgia: $212,000 - $339,000 USD
Boston, Massachusetts: $244,000 - $390,000 USD
Miami, Florida: $212,000 - $339,000 USD
New York City, New York: $254,000 - $407,000 USD
O'Fallon, Missouri: $212,000 - $339,000 USD
Purchase, New York: $244,000 - $390,000 USD
Remote - New York: $212,000 - $339,000 USD
Seattle, Washington: $244,000 - $390,000 USD

Benefits

Insurance (including medical, prescription drug, dental, vision, disability, life insurance)
Flexible spending account and health savings account
Paid leaves (including 16 weeks of new parent leave and 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

About the Company

Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
Together with our customers, we're helping build a sustainable economy where everyone can prosper.
We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible.
Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.

Equal Opportunity

Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
We hire the most qualified candidate for the role.
In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting.
Do not include any medical or health information in this email.
The Reasonable Accommodations team will respond to your email promptly.