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# I&M Segment Applied AI Lead implements AI solutions

- **Company:** Legence (nasdaq: Lgn)
- **Location:** San Jose, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $145,000.0 - $180,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Computerized Maintenance Management Systems, Supervisory Control and Data Acquisition (SCADA), Python (Programming Language), TypeScript, Office365, Large Language Models, Build Management, Low-code, Data Management
- **Published:** August 25, 2026
- **Apply:** https://www.dice.com/job-detail/b7b2e857-6ad7-4577-894d-b44ac06b16fb

## About the Role

* 7+ years across industrial/operations technology, software/data, or technical implementation, with hands-on LLM experience in a business setting.
 * Working knowledge of industrial operations, maintenance, or field-service workflows and the systems that support them.
 * Ability to build and deploy solutions (Python, TypeScript, or low-code) and to train non-technical operations and field teams to use them.
 * Hands-on fluency with agentic AI tools - building and automating with Claude Code, and enabling users with Claude Cowork and Microsoft 365 Copilot Cowork.
 * Credible and comfortable with operations and field teams on site., * Familiarity with OT/industrial data (historian/SCADA, IoT, edge) and maintenance/service systems (CMMS/EAM, FSM).
 * Experience in industrial, manufacturing, or facility/energy-services environments.
 * Experience applying governance and data-handling standards in practice

Base salary: $145,000-$180,000 per year.
Notes: Actual compensation will be based on skills, experience, and work location, and may vary from the posted range.This posting reflects compensation at the time of posting and may be updated.

## Description

* Build and deploy AI solutions for real operations and service problems - maintenance and service workflows, planning and dispatch, asset and energy performance, quality, safety, and technician enablement.
 * Train and enable operations and field teams - technicians, planners, operations leaders - with hands-on sessions and support that fit how the work really gets done, accounting for OT/IoT and connectivity realities.
 * Drive adoption in operations and the field: run pilots, work alongside teams, remove friction, and grow self-service use.
 * Deploy, configure, and support the agentic AI tools the company has selected for I&M users - Microsoft 365 Copilot and Copilot Cowork, Claude Cowork, and Claude Code - and use them directly to build solutions, integrating with operational and service systems where appropriate.
 * Collaborate with the Corporate and E&C Applied AI Leads as peers - reuse and share solutions, templates, and patterns so work is not duplicated across segments.
 * Apply the governance and OT/IT data-handling standards leadership sets, and flag operational risks and gaps back to leadership.
 * Quantify and report impact in segment terms: unplanned downtime avoided, mean-time-to-repair, first-time-fix rate, energy and asset performance, service margin.


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