Legence Logo

Legence

I&M Segment Applied AI Lead

Reposted 21 Hours Ago
Be an Early Applicant
In-Office or Remote
Hiring Remotely in United States
145K-180K Annually
Senior level
In-Office or Remote
Hiring Remotely in United States
145K-180K Annually
Senior level
Build and deploy AI solutions for installation and maintenance operations, including maintenance workflows, dispatch, asset performance, quality, safety, and technician enablement. Train field and operations teams, deploy agentic AI tools, run adoption pilots, integrate operational systems, apply governance standards, and measure business impact through metrics such as downtime, repair time, first-time-fix rates, energy performance, and service margin.
The summary above was generated by AI

About Legence
Legence (Nasdaq: LGN) is a leading provider of engineering, consulting, installation, and maintenance services for mission-critical systems in buildings. The company specializes in designing, fabricating, and installing complex HVAC, process piping, and other mechanical, electrical, and plumbing (MEP) systems—enhancing energy efficiency, reliability, and sustainability in new and existing facilities. Legence also delivers long-term performance through strategic upgrades and holistic solutions. Serving some of the world’s most technically demanding sectors, Legence counts over 60% of the Nasdaq-100 Index among its clients.

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.

#LI-JS1 #LI-Remote

Benefits Overview
401(k) Plan with Company Match: Currently match contributions dollar-for-dollar up to 4% of eligible pay; immediate vesting. 
Health & Welfare Benefits: Employer provided medical, dental, vision, prescription drug, Employee Assistance Program and accident & illness coverage. 
Life and Disability Insurance: Employer provided basic life insurance and AD&D valued at 50K coverage amount with the option for voluntary buy up for additional coverage.
Time Off: Flexible non-accrual vacation; company holidays per policy. (For California employees, this is separate from California paid sick leave, if applicable.)
Expenses: Business travel and related expenses reimbursed per company policy.

Reasonable Accommodations
If you need assistance or accommodations during the application or interview process, please contact us at [email protected] or your dedicated recruiter with the job title and requisition number.

Employment Eligibility
Candidates must have current work authorization in the U.S.; visa sponsorship is not available for this position.

Third-Party Recruiting Disclaimer
Legence and its affiliates do not accept unsolicited resumes from agencies; any such submissions without a prior signed agreement authorized by Legence Holdings LLC's CHRO or Director of Talent Acquisition will not incur fees and are considered property of Legence.

Pay Disclosure & Considerations
Where pay ranges are indicated, please note that a successful candidate’s exact pay will be determined based relevant job-related factors, including any of the following: candidate’s experience, skills, and qualifications, as well as geographic and market considerations.  We are committed to ensuring fair and competitive compensation for all employees and comply with all applicable salary transparency laws. 

Equal Employment Opportunity Employer
Legence and its affiliate companies are proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), marital or familial status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, other non-merit-based factors, and any other characteristic protected under applicable local, state or federal laws and regulations.

EEO is the Law 

Similar Jobs

27 Minutes Ago
Remote or Hybrid
206K-260K Annually
Entry level
206K-260K Annually
Entry level
Cloud • Fintech • Information Technology • Machine Learning • Software
Lead the design and development of secure, scalable, high-throughput payment platform services. Build payment orchestration, fraud and risk capabilities, multi-provider integrations, and global bill payment products. Contribute hands-on to production code and proofs of concept, establish technical direction, mentor engineers, collaborate cross-functionally, and promote AI tools that improve engineering productivity.
Top Skills: Api DesignArtificial IntelligenceAWSC#C++GoJavaNoSQLSQL
27 Minutes Ago
Remote or Hybrid
Senior level
Senior level
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Provides functional and technical consulting for ServiceNow Technology Workflow implementations. Leads presales solutioning, workshops, scoping, and estimates; designs integrated workflow solutions; advises senior leaders on roadmaps, governance, and change management; presents solutions and use cases; mentors delivery teams and partners; and drives continuous improvement. The role requires extensive ServiceNow implementation expertise, customer engagement, solution architecture, and up to 50% travel.
Top Skills: ItomItsmPortalsServicenowSystem IntegrationsWireframesWorkflow ApplicationsWorkflow Modeling
27 Minutes Ago
Remote or Hybrid
Expert/Leader
Expert/Leader
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Leads Security and Risk Services delivery across the Americas, managing senior consultants and business process consultants. Drives customer implementations, security and risk transformation, AI-powered automation adoption, services revenue, delivery quality, customer satisfaction, and partner alignment. Builds executive relationships with CISOs, risk and compliance leaders, shapes transformation roadmaps, develops regional business strategies, and mentors consulting teams. Requires extensive enterprise security, risk, governance, compliance, consulting, and ServiceNow experience. Travel is required up to 40% annually.
Top Skills: Artificial IntelligenceCloud ComputingSaaSServicenow

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account