Principal – Facilities AI

🔥 16 hours ago

⛰️ Colorado, Texas, +2 more states – Remote

⛰️ Colorado – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $170k - $190k / year

⏰ Full Time

🔴 Lead

🤖 Artificial Intelligence

👻 Ghost score 6%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Fleet Data Centers

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏗️ Construction

💼 Consulting

📦 Logistics

Construction • Consulting • Logistics

Fleet Data Centers is a provider of mega-scale data center campus solutions, offering design, construction and operations expertise for hyperscale technology customers. The company partners with large, sophisticated technology firms to deliver highly scalable, flexible and predictable data center campuses, acting as an extension of customers' engineering and operations teams. Fleet emphasizes in-house engineering, tenured leadership, and experience building and operating hundreds of data centers to meet the evolving needs of the hyperscale economy.

📋 Description

• Identify and implement automation that measurably improves safety, reliability, speed, quality, and labor productivity • Define Fleet’s facilities AI, ML, and automation strategy across use cases such as alarm rationalization, predictive maintenance, anomaly detection, workflow automation, digital assistants, failure prediction, and operational reporting • Identify high-value operational pain points and build business cases, requirements, and adoption plans • Partner with site operations, facilities engineering, critical systems, and data teams to ground models and automations in real operating conditions and trustworthy data • Establish governance for model quality, explainability, human-in-the-loop controls, change management, and risk management • Drive pilot design, validation criteria, implementation sequencing, and scale-up decisions based on measurable performance • Help shape data standards, instrumentation requirements, system integrations, and telemetry quality • Create technical and operational documentation for adoption, auditing, support, and continuous improvement • Serve as a thought leader on practical AI and automation applications for critical infrastructure • Advise leaders on where automation should accelerate work, support humans, or not be used

🎯 Requirements

• 10+ years of experience spanning mission-critical facilities, industrial automation, data systems, advanced analytics, or related engineering disciplines • Demonstrated experience applying automation, analytics, or machine learning to real operational workflows or physical infrastructure environments • Strong understanding of data center operations, critical systems, maintenance, telemetry, or industrial monitoring • Ability to translate ambiguous operational problems into practical product, data, or automation requirements • Strong understanding of data quality, systems integration, workflow design, and adoption challenges in operational settings • Strong communication skills and executive presence, with the ability to influence across technical and operational functions • High standards for governance, safety, explainability, and operational credibility • Expert knowledge of AI fundamentals, multiple model types, and their application/use cases • Willingness and ability to travel to Fleet sites as needed

🏖️ Benefits

• 100% employer-covered medical insurance • 100% employer-covered dental insurance • 100% employer-covered vision insurance • 401K program • Standard paid holidays • Unlimited PTO • Discretionary bonus

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