
Principal β Facilities AI
Posted Oct 30

Posted Oct 30
This is a fully remote position, open to applicants in Colorado, +3 more states.
β’ Identify and implement automation solutions that significantly enhance safety, reliability, speed, quality, and labor productivity.
β’ Define the AI, ML, and automation strategy for Fleet's facilities, focusing on use cases such as alarm rationalization, predictive maintenance, anomaly detection, workflow automation, digital assistants, failure prediction, and operational reporting.
β’ Recognize high-value operational challenges and develop business cases, requirements, and adoption strategies.
β’ Collaborate with site operations, facilities engineering, critical systems, and data teams to ensure models and automations are grounded in actual operating conditions and reliable data.
β’ Establish governance for model quality, explainability, human-in-the-loop controls, change management, and risk management.
β’ Lead pilot design, validation criteria, implementation sequencing, and scale-up decisions based on measurable outcomes.
β’ Assist in shaping data standards, instrumentation requirements, system integrations, and telemetry quality.
β’ Produce technical and operational documentation for adoption, auditing, support, and ongoing improvement.
β’ Act as a thought leader on practical applications of AI and automation in critical infrastructure.
β’ Provide guidance to leaders on where automation can enhance work efficiency, support human efforts, or should be avoided.
β’ Over 10 years of experience in mission-critical facilities, industrial automation, data systems, advanced analytics, or related engineering fields.
β’ Proven experience in applying automation, analytics, or machine learning to actual operational workflows or physical infrastructure settings.
β’ Comprehensive understanding of data center operations, critical systems, maintenance, telemetry, or industrial monitoring.
β’ Ability to transform unclear operational challenges into actionable product, data, or automation requirements.
β’ Strong grasp of data quality, systems integration, workflow design, and adoption hurdles in operational environments.
β’ Excellent communication skills and executive presence, with the capacity to influence both technical and operational teams.
β’ High standards for governance, safety, explainability, and operational integrity.
β’ Expert knowledge of AI fundamentals, various model types, and their applications/use cases.
β’ Willingness and capability to travel to Fleet sites as necessary.
β’ 100% employer-covered medical insurance.
β’ 100% employer-covered dental insurance.
β’ 100% employer-covered vision insurance.
β’ 401K program.
β’ Standard paid holidays.
β’ Unlimited PTO.
β’ Discretionary bonus.
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