VP, AI Infrastructure & Platform Reliability

BNY; Town of Florida (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

BNY is seeking a Vice President of AI Infrastructure Support to lead operations for AI platforms across Lake Mary, FL, New York, NY, or Pittsburgh, PA. You will oversee deployments, automate tooling, and collaborate with engineering, security, and product teams to ensure scalable AI workloads.

The role demands strong Kubernetes/Docker experience, scripting skills, and enterprise tooling expertise. The position emphasizes on‑call readiness, documentation of runbooks, and adherence to CI/CD

Qualifications

• Bachelor’s degree or equivalent work experience.

Responsibilities

• Provide operational support and issue resolution for AI infrastructure and platform services.
• Manage AI deployments and monitor workloads on distributed systems using Kubernetes and Docker.
• Develop and maintain scripts and automation using Python and Shell scripting.
• Extensively use infrastructure ticketing systems such as JIRA and ServiceNow.
• Collaborate with cross-functional teams and be well versed in DevOps practices including CI/CD (GitLab), containerization (Docker), and secure access control (Azure AD).
• Assist with documenting infrastructure processes, runbooks, and architectural components.
• Troubleshoot networking and storage-related issues across AI workloads.
• Participate in periodic on-call rotations, including occasional weekend coverage.

Skills

Kubernetes

Docker

Python

Shell scripting

DevOps practices

CI/CD

Documentation

On‑call support

Cross‑functional collaboration

Education

Bachelor’s degree in Computer Science or related

Tools

HELM

GitLab CI/CD

JIRA

ServiceNow

Azure AD

Git

Job description

BNY is seeking a Vice President of AI Infrastructure Support to lead operations for AI platforms across Lake Mary, FL, New York, NY, or Pittsburgh, PA. You will oversee deployments, automate tooling, and collaborate with engineering, security, and product teams to ensure scalable AI workloads.

The role demands strong Kubernetes/Docker experience, scripting skills, and enterprise tooling expertise. The position emphasizes on‑call readiness, documentation of runbooks, and adherence to CI/CD