AI Platform Engineering Lead: Cloud, MLOps & Data Science

Ferguson; United States; On-site; USD 150,000 - 210,000; Full time

Job summary

Ferguson is seeking an IT Manager for AI Platform Engineering & Data Science to lead a team of platform engineers, architects, and data specialists. You will drive scalable AI/ML and software delivery across a hybrid cloud (GCP primary, Azure support) and modernize technology platforms.

Reporting to the Director of AI Technology and Innovation, you will shape platform strategy, advance DevSecOps maturity, and enable rapid move from experimentation to production while delivering measurable

Responsibilities

• Lead, coach, and develop a high-performing team of platform engineers, architects, and technical specialists.
• Define and execute the platform engineering, cloud, and data science roadmap in support of Ferguson's AI and technology strategy.
• Design, build, and optimize scalable, secure, and reliable platform capabilities across Google Cloud Platform (GCP) and hybrid-cloud environments.
• Partner with AI Engineering, Data Science, Product, and Architecture teams to enable the development, deployment, and operation of AI and machine learning solutions.
• Drive DevSecOps, CI/CD, infrastructure automation, and platform reliability standards to improve delivery speed, quality, and operational efficiency.
• Own and enhance MLOps and data science platform capabilities, supporting model development, training, deployment, and monitoring at scale.
• Establish engineering standards, architecture patterns, API strategies, and reusable platform services that accelerate software delivery.
• Lead platform modernization initiatives, including cloud adoption, developer experience improvements, automation, and legacy technology retirement.
• Manage project delivery, budgets,

Job description

Ferguson is seeking an IT Manager for AI Platform Engineering & Data Science to lead a team of platform engineers, architects, and data specialists. You will drive scalable AI/ML and software delivery across a hybrid cloud (GCP primary, Azure support) and modernize technology platforms.

Reporting to the Director of AI Technology and Innovation, you will shape platform strategy, advance DevSecOps maturity, and enable rapid move from experimentation to production while delivering measurable