Senior AI Platform Engineer: Scale & MLOps

Mastercard Inc.; Arlington (VA); On-site; USD 161,000 - 266,000; Full time

Job summary

Mastercard invites a Lead AI Platform Engineer to shape enterprise AI platforms. You will architect, implement, and operate scalable AI infrastructures, enabling teams to develop, deploy, observe, and scale AI solutions across public and private clouds.

The role emphasizes security, reliability, governance, and driving best practices in CI/CD, IaC, and observability. You will collaborate with product, security, and governance teams to align capabilities with enterprise standards, mentor

Qualifications

• Experience designing cloud-native platforms for enterprise environments.
• Strong Python automation and scripting capabilities.
• Proven ability to lead complex, cross-team initiatives.

Responsibilities

• Lead design, build, and operation of enterprise AI platforms.
• Deliver scalable, secure MLOps workflows across cloud environments.
• mentor engineers and guide solution designs for AI workloads.

Skills

Cloud platforms

Kubernetes/OpenShift

Python automation

CI/CD pipelines

MLOps

Observability

Stakeholder comms

Education

Bachelor's degree in CS or related

Tools

OpenShift

Docker

Helm

GitOps

Terraform

Job description

Mastercard invites a Lead AI Platform Engineer to shape enterprise AI platforms. You will architect, implement, and operate scalable AI infrastructures, enabling teams to develop, deploy, observe, and scale AI solutions across public and private clouds.

The role emphasizes security, reliability, governance, and driving best practices in CI/CD, IaC, and observability. You will collaborate with product, security, and governance teams to align capabilities with enterprise standards, mentor