Senior Principal AI Engineer- AI Center of Excellence
Mastercard1 day ago
Base Salary
$212k - $407k/yr
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 computing, rack-scale systems, private and hybrid cloud, Kubernetes, 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 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.
- 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, standards, reference designs, and knowledge sharing.
Requirements
- 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 and 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, including engagement with senior stakeholders and elevation of technical expertise across engineering teams.
- Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Science, or a related discipline; an advanced degree is preferred.
Benefits
- Full-time employees generally receive medical, prescription drug, dental, vision, disability, and life insurance.
- Benefits generally include flexible spending and health savings accounts, paid leaves, 80 hours of Paid Sick and Safe Time, vacation, personal days, paid U.S. holidays, 401(k) matching, deferred compensation for eligible roles, fitness reimbursement or on-site fitness facilities, and tuition reimbursement.
- This is a future-hiring resume collection posting rather than a current vacancy.
- The posting lists location-specific opportunities including remote New York.
Tech Stack
Categories
About Mastercard
Mastercard builds and operates a global payments network used by banks, merchants, fintechs, and governments, offering card processing, real-time payments, tokenization, and fraud/risk services. It generates revenue from transaction processing and assessment/service fees across more than 200 countries and territories. Founded in 1966 and headquartered in Purchase, New York, Mastercard is a public company listed on the NYSE (ticker: MA).