Remote Platform Engineering & AI/ML Lead

Ferguson; United States; Remote; USD 84,000 - 148,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

Paid time off

401(k) with company match

Life insurance

Job summary

Ferguson is seeking an IT Manager for AI Platform Engineering & Data Science in the United States. Remote work is approved within the US, with collaboration across Eastern/Central time zones and occasional travel to Newport News, VA, and Tampa, FL.

You will lead a team of platform engineers and data scientists, define roadmaps, and drive cloud-native platforms leveraging GCP as primary and Azure for hybrid workloads. The role emphasizes DevSecOps, MLOps, and scalable AI delivery.

Qualifications

• Bachelor's degree in information technology or related field preferred or equivalent experience.
• At least 5 years of hands-on platform engineering experience with ML/data analytics enablement.
• Direct experience leading engineering teams and managing performance.
• Proficient in Java and/or Python with software architecture expertise.
• Experience in DevSecOps, CI/CD, and platform services on GCP with Azure knowledge.
• Experience enabling data science/ML workflows using cloud-native tools.

Responsibilities

• Lead and coach a high-performing team of platform engineers and data scientists.
• Define and execute platform, cloud, and data science roadmaps aligned to AI strategy.
• Design and optimize scalable, secure platform capabilities across GCP and hybrid-cloud.
• Partner with AI Engineering, Data Science, Product, and Architecture teams.
• Drive DevSecOps, CI/CD, automation, and platform reliability standards.
• Own MLOps capabilities including model training, deployment and monitoring.
• Establish standards, patterns, and reusable services to accelerate delivery.
• Lead modernization initiatives including cloud adoption and automation.
• Manage budgets, vendor relationships, and team capacity.
• Monitor platform performance, security, and risk; address issues proactively.
• Collaborate with business and tech leaders to align investments with priorities.

Skills

Platform engineering leadership

Java

Python

CI/CD

DevSecOps

MLOps

GCP

Azure

Data analytics enablement

Cross-functional collaboration

Cloud architecture

Telemetry dashboards

Communication skills

Team coaching

Education

Bachelor's degree in information technology or related field

Tools

Vertex AI

BigQuery

AppDynamics

DataDog

Job description

Ferguson is seeking an IT Manager for AI Platform Engineering & Data Science in the United States. Remote work is approved within the US, with collaboration across Eastern/Central time zones and occasional travel to Newport News, VA, and Tampa, FL.

You will lead a team of platform engineers and data scientists, define roadmaps, and drive cloud-native platforms leveraging GCP as primary and Azure for hybrid workloads. The role emphasizes DevSecOps, MLOps, and scalable AI delivery.