Principal, Facilities AI
Fleet Data CentersAlexandria, VA
Full Time
Posted September 15, 2026
$170k - $190k
Energy Storage
Remote
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Application opens on company website
Listing evidence and provenance
- Source
- Greenhouse View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed October 5, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Storage
- Pay provenance
- Employer-provided pay
Job Description
Fleet Data Centers employees enjoy competitive compensation and comprehensive benefits, including 100% employer-covered medical, dental, and vision insurance, a 401K program, standard paid holidays, and unlimited PTO.
Key Responsibilities
- Safety, security, and availability are the most important things we do. Help Fleet deliver near-perfect execution on these dimensions by identifying and implementing automation that measurably improves operational outcomes.
- 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 the business cases, requirements, and adoption plans needed to implement solutions that matter.
- Partner with site operations, facilities engineering, critical systems, and data teams to ensure models and automations are grounded in real operating conditions and trustworthy data.
- Establish governance for model quality, explainability, human-in-the-loop controls, change management, and risk management in operational environments.
- 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 needed to support advanced analytics and automation.
- Create clear technical and operational documentation so that solutions can be adopted, audited, supported, and improved over time.
- Serve as a thought leader on practical AI and automation applications for critical infrastructure, balancing innovation with reliability and operational discipline.
- Advise leaders on where automation should accelerate work, where it should support humans, and where it should 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.
- Experience with DCIM/BMS/EPMS/SCADA, CMMS, or operational data platforms in data centers or similar critical infrastructure.
- Experience designing decision-support tools, anomaly detection solutions, predictive maintenance models, or workflow automation tools for operations organizations.
- Familiarity with hyperscale, colocation, utility, manufacturing, or other high-availability environments.
Ready to Apply?
Apply directly on Fleet Data Centers's site
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