Remote AI Platform & Data Science Manager

Ferguson Enterprises, Inc.; Richmond (VA); Remote; USD 84,000 - 148,000; Full time

Benefits offered by this job

Health, dental, vision insurance

Paid time off

401(k) with company match

Parental leave and wellness programs

Job summary

Ferguson Enterprises, Inc. seeks a senior technology leader to drive platform engineering and data science modernization across a hybrid-cloud environment. You will shape cloud strategy, partner with AI and product teams, and elevate DevSecOps practices to scale ML workflows enterprise-wide.

The role demands hands-on engineering, strong leadership, and a track record of delivering secure, reliable cloud platform capabilities with GCP at the center and Azure support for hybrid workloads.

Qualifications

• Hands-on platform engineering experience with cloud-native services.
• Experience with ML workflow tooling and data analytics.
• Proven ability to lead engineering teams and manage performance.
• Experience with secure software delivery (DevSecOps) and CI/CD pipelines.

Responsibilities

• Define and execute platform engineering, cloud and data science roadmap.
• Design and optimize scalable, secure platform capabilities on GCP and hybrid-cloud environments.
• Lead DevSecOps, CI/CD, automation, and platform reliability standards.
• Partner with AI Engineering, Data Science, Product, Architecture teams to enable ML solutions.

Skills

Platform engineering

Machine Learning

Cloud architecture

DevSecOps

CI/CD

Java

Python

Leadership

Education

Bachelor's degree in information technology or CS

Tools

Google Cloud Platform (GCP)

Azure

Vertex AI

BigQuery

Job description

Ferguson Enterprises, Inc. seeks a senior technology leader to drive platform engineering and data science modernization across a hybrid-cloud environment. You will shape cloud strategy, partner with AI and product teams, and elevate DevSecOps practices to scale ML workflows enterprise-wide.

The role demands hands-on engineering, strong leadership, and a track record of delivering secure, reliable cloud platform capabilities with GCP at the center and Azure support for hybrid workloads.