# Senior Principal AI Engineer- AI Center of Excellence

**Company**: Mastercard
**Experience**: senior
**Job type**: full-time
**Salary**: $254,000 - $407,000 USD
**Category**: Engineering
**Industry**: Finance

**Apply**: https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/San-Francisco-California/Senior-Principal-AI-Engineer--AI-Center-of-Excellence_R-292873-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_63dcf870-c52

## Description

Mastercard's AI Center of Excellence is seeking a Senior Principal AI Engineer – AI Infrastructure to serve as a technical expert and thought leader for enterprise AI infrastructure.

The successful candidate will bring deep expertise in high-performance computing (HPC), GPU and accelerated computing, rack-scale systems architecture, private and hybrid cloud, Kubernetes, high-performance networking and storage, observability, security, and reliability.

Key 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.

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

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 and 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

## Skills

### Required
- high-performance computing
- GPU and accelerated computing
- rack-scale systems architecture
- private and hybrid cloud
- Kubernetes
- high-performance networking and storage
- observability
- security
- reliability

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Source: [Apply at mastercard.wd1.myworkdayjobs.com](https://mastercard.wd1.myworkdayjobs.com/en-US/CorporateCareers/job/San-Francisco-California/Senior-Principal-AI-Engineer--AI-Center-of-Excellence_R-292873-1?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)