Principal – Facilities AI

This is a fully remote position, open to applicants in Colorado, +3 more states.

📋 Description

• Identify and implement automation solutions that significantly enhance safety, reliability, speed, quality, and labor productivity.

• 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.

• Recognize high-value operational challenges and develop business cases, requirements, and adoption plans.

• Collaborate with site operations, facilities engineering, critical systems, and data teams to ensure that models and automations are grounded in real operating conditions and reliable data.

• Establish governance frameworks for model quality, explainability, human-in-the-loop controls, change management, and risk management.

• Lead the design of pilot projects, validation criteria, implementation sequencing, and scaling decisions based on measurable performance outcomes.

• Contribute to the development of data standards, instrumentation requirements, system integrations, and telemetry quality.

• Produce technical and operational documentation to support adoption, auditing, assistance, and continuous improvement.

• Act as a thought leader in practical AI and automation applications for critical infrastructure.

• Provide guidance to leaders on where automation can enhance work processes, assist human operators, or be deemed unnecessary.

⛳️ Requirements

• A minimum of 10 years of experience in mission-critical facilities, industrial automation, data systems, advanced analytics, or related engineering fields.

• Proven experience in 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 convert ambiguous operational challenges into practical product, data, or automation requirements.

• Comprehensive understanding of data quality, systems integration, workflow design, and adoption hurdles in operational settings.

• Excellent communication skills and executive presence, with the capability to influence across technical and operational domains.

• High standards for governance, safety, explainability, and operational reliability.

• Expert knowledge of AI fundamentals, various model types, and their applicable use cases.

• Willingness and ability to travel to Fleet sites as required.

🏝️ 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.