Lead AI Platform Engineer for Enterprise ML & MLOps

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

Benefits offered by this job

Health insurance

Paid time off

Retirement savings plan

Job summary

Mastercard is seeking a Lead AI Platform Engineer to guide the architecture, engineering, automation, and operational excellence of Mastercard's AI platforms. You will lead the technical design and delivery of complex capabilities, improving existing products and influencing cross-functional teams across engineering, security, and governance.

You will shape platforms, tooling, and practices for scalable AI across public and private clouds, addressing challenges in reliability, observability,

Qualifications

• Experience designing, building, and operating cloud-native platforms or large-scale distributed systems in enterprise environments.
• Strong experience delivering solutions across public and private cloud environments.
• Experience deploying and managing containerized workloads using Kubernetes or OpenShift.
• Advanced software engineering and automation experience using Python.
• Experience leading the technical design and delivery of complex initiatives with multiple teams.
• Experience implementing CI/CD pipelines, IaC, automated testing, and DevOps practices.
• Experience designing or supporting production AI, ML, data platforms, or distributed systems.
• Strong understanding of MLOps, model lifecycle management, production inference, and AI system operations.
• Experience implementing telemetry, monitoring, logging, alerting, and operational analytics.

Responsibilities

• Lead the design, delivery, and operation of enterprise AI platforms and ML workloads.
• Translate requirements into scalable platform solutions and implementation approaches.
• Design and maintain AI/ML systems meeting security, reliability, availability, and performance requirements.
• Own delivery across public and private clouds, managing dependencies and cross-functional influence.
• Build services and workflows to simplify onboarding, development, deployment, and lifecycle management for AI solutions.
• Develop infrastructure, tooling, and services for model training, evaluation, deployment, and governance.
• Lead MLOps capabilities and AI development workflows across teams.
• Build data ingestion, preprocessing, and feature engineering workflows for training and inference.
• Design observability capabilities including telemetry, monitoring, logging, and model drift detection.
• Ensure operational stability and scalability of AI platforms, driving reliability and customer impact.

Skills

Cloud-native platforms

Large-scale distributed systems

Multi-team coordination

CI/CD / DevOps practices

Architectural design decisions

MLOps

Telemetry and observability

Leadership and mentorship

Problem solving

Communication with stakeholders

Tools

Kubernetes

OpenShift

Docker

Helm

GitOps

Infrastructure as Code

Python

Job description

Mastercard is seeking a Lead AI Platform Engineer to guide the architecture, engineering, automation, and operational excellence of Mastercard's AI platforms. You will lead the technical design and delivery of complex capabilities, improving existing products and influencing cross-functional teams across engineering, security, and governance.

You will shape platforms, tooling, and practices for scalable AI across public and private clouds, addressing challenges in reliability, observability,