CareerPlan

Lead AI Platform Engineer

New York City, New York, USFull-time2026-10-28 → 2026-11-10

Core

Design, build, and operate enterprise AI platforms and MLOps infrastructure to enable scalable deployment of AI/ML workloads across Mastercard.

Role type

Lead AI Platform Engineer (Senior IC)

Builds

Scalable, secure AI/ML platforms, tooling, and workflows for model training, inference, and governance.

Domain

Financial Technology / Enterprise AI Infrastructure

Deliverable

production ML models

Required skills

Cloud-native platform engineering, Kubernetes/OpenShift, Python, MLOps, CI/CD, Infrastructure as Code, observability, distributed systems, technical leadership, mentoring

Preferred skills

Generative AI platforms, LLM workloads, model fine-tuning, guardrails, vector databases, agentic systems, GPU-accelerated computing, responsible AI controls

Technologies

Kubernetes, OpenShift, Python, Docker, Helm, GitOps, CI/CD tools, telemetry/logging frameworks

Responsibilities

Lead design and delivery of AI platform capabilities; optimize workflows for model lifecycle management; implement MLOps and observability solutions; mentor engineers and influence cross-functional architecture decisions; ensure platform stability and security compliance.

Seniority

Senior, hands-on IC with leadership responsibilities