AI Platform Engineering Lead

Mastercard Inc.

Purchase (NY)

On-site

USD 161,000 - 266,000

Full time

6 days ago
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Benefits offered by this job

Health insurance
401k match
Paid time off
Tuition reimbursement

Job summary

Mastercard Inc. in Purchase, NY is seeking a Lead AI Engineer for the AI Platform Engineering team to shape and operate scalable AI infrastructure across public and private clouds.

You will lead technical design, mentor engineers, and drive MLOps, telemetry, and governance efforts to enable safe, efficient AI development and deployment enterprise-wide. Strong collaboration with product and security teams, advancing observability, reliability, and secure AI practices to support Mastercard's AI

Qualifications

  • Experience designing and operating cloud-native platforms.
  • Experience delivering solutions across public and private cloud environments.
  • Container management with Kubernetes or OpenShift.
  • Advanced Python software engineering and automation.
  • Experience leading multi-team technical design and delivery.
  • CI/CD pipelines, Infrastructure as Code, automated testing, and DevOps practices.

Responsibilities

  • Lead design, development, and operation of enterprise AI platforms for ML, generative AI, and analytics workloads.
  • Translate requirements into scalable platform solutions and approaches.
  • Design AI systems that meet security, reliability, availability, scalability, and performance standards.
  • Own delivery across cloud environments and guide cross-functional decisions.

Skills

Kubernetes
OpenShift
Python
CI/CD automation
Infrastructure as Code
MLOps
DevOps practices
Cloud platforms (AWS/GCP/Azure)

Job description

Mastercard Inc. in Purchase, NY is seeking a Lead AI Engineer for the AI Platform Engineering team to shape and operate scalable AI infrastructure across public and private clouds.

You will lead technical design, mentor engineers, and drive MLOps, telemetry, and governance efforts to enable safe, efficient AI development and deployment enterprise-wide. Strong collaboration with product and security teams, advancing observability, reliability, and secure AI practices to support Mastercard's AI

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