I&M Segment Applied AI Lead

Legence; San Jose (CA); Hybrid; USD 145,000 - 180,000; Full time

Job summary

Legence is seeking a senior leader to implement AI solutions for Installation & Maintenance across operations and service delivery. You will prototype with operational data, train field teams, and drive floor adoption of AI tools such as Claude Code, Claude Cowork, and Microsoft 365 Copilot Cowork.

The role requires on-site collaboration and hands-on deployment in industrial settings. The position emphasizes governance, OT/IT data handling, and measurable impact like reduced downtime and

Qualifications

• 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.

Responsibilities

• 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.

Skills

Industrial operations

LLM in business setting

Python/TypeScript/low-code

Agentic AI tools

On-site collaboration

Tools

Python

TypeScript

Low-code

Claude Code

Claude Cowork

Microsoft 365 Copilot Cowork

Job description

Location: San Jose, CA or Beltsville, MD preferred; Remote
Travel: Yes, 10%

Role Summary

The I&M Segment Applied AI Lead implements AI solutions for the Installation & Maintenance business — across operations, service delivery, maintenance, and the plant- and field-side work that defines the segment. Within the strategy and governance set by leadership, this role builds and deploys working solutions for operations and service problems, trains technicians, planners, and operations leaders to use them, and drives adoption on the floor and in the field. It is for someone who can prototype against operational data and then stand on a plant floor or service site until the tool sticks. It implements; it does not set strategy.

Key Responsibilities

• 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.

Required Qualifications

• 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.

Preferred Qualifications

• 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.

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