Principal – Facilities AI

🔥 44 minutes 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 0%

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Fleet Data Centers

WebsiteLinkedInAll Job Openings

51 - 200 employees

🔧 Hardware

🏢 Enterprise

Hardware • Enterprise

Fleet Data Centers is a company that designs, builds, and operates mega-scale data center campuses for hyperscale customers. The company emphasizes offering differentiated, highly scalable campus solutions that provide flexibility and predictability to support growth and augmentation of data center fleets. Their team includes experienced leaders and engineers from top hyperscale and infrastructure growth companies. Fleet positions itself as a strategic partner that integrates with customers' teams and offers in-house design and engineering capabilities to deliver and operate large-scale data centers worldwide. The company's messaging highlights expertise in design, build, operations, and partnerships with sophisticated technology companies.

📋 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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