Design, develop, or evaluate energy-related projects or programs to reduce energy costs or improve energy efficiency during the designing, building, or remodeling stages of construction. May specialize in electrical systems; heating, ventilation, and air-conditioning (HVAC) systems; green buildings; lighting; air quality; or energy procurement.
U.S. Workers
150,750
Median Salary
$117,750
10-Year Growth
+2.1%
Annual Openings
9,300
Typical entry: Bachelor's degree
21 of 21 tasks have some AI capability
Exposure Trend
This score reflects estimated AI technical capability for tasks in this occupation. It does not predict employment changes, and it does not account for company-specific constraints, regulation, or adoption barriers.
Identify and recommend energy savings strategies to achieve more energy-efficient operation.
AI: Fully automatable - Given energy data and building/system models, AI can reliably identify and recommend energy‑saving strategies and optimize operational settings autonomously.
Monitor and analyze energy consumption.
AI: Fully automatable - AI systems can continuously monitor sensor feeds and perform advanced analytics, anomaly detection and forecasting for energy consumption in an automated way.
Analyze, interpret, or create graphical representations of energy data, using engineering software.
AI: Fully automatable - AI tools can analyze, interpret and produce high-quality graphical representations of energy data using engineering software automatically and at scale.
Verify energy bills and meter readings.
AI: Fully automatable - AI can reliably parse utility bills and meter readings, cross-check values, detect anomalies and verify billing given access to digital records and meter feeds.
Prepare energy-related project reports or related documentation.
AI: Fully automatable - AI can compile measurements, model outputs and standards into structured, professional energy project reports and documentation with minimal human editing.
Train personnel or clients on topics such as energy management.
AI: Fully automatable - AI can generate tailored curricula, deliver interactive training, assess learners, and provide ongoing coaching for energy management topics at scale.
Promote awareness or use of alternative or renewable energy sources.
AI: Fully automatable - AI can design and run outreach campaigns, generate persuasive content, target audiences, and optimize engagement to effectively promote renewable energy adoption.
Recommend best fuel for specific sites or circumstances.
AI: Fully automatable - Given site data and constraints, AI can evaluate cost, availability, emissions, and performance trade-offs to recommend the best fuel option for specific circumstances.
Conduct energy audits to evaluate energy use and to identify conservation and cost reduction measures.
AI: Partial - AI can analyze utility and sensor data, produce audit reports and remote recommendations, but comprehensive on‑site inspections and certain measurements still need human auditors.
Monitor energy related design or construction issues, such as energy engineering, energy management, or sustainable design.
AI: Partial - AI can continuously analyze design documents and sensor feeds to flag many energy-related design or construction issues, but cannot fully replace on-site judgment, coordination, and hands‑on verification required in construction monitoring.
Inspect or monitor energy systems, including heating, ventilating, and air conditioning (HVAC) or daylighting systems to determine energy use or potential energy savings.
AI: Partial - AI can process BMS logs, sensor data and thermal imagery to assess HVAC and daylighting performance and estimate savings, but cannot perform physical inspections or access all required on-site measurements without human-collected data.
Advise clients or colleagues on topics such as climate control systems, energy modeling, data logging, sustainable design, or energy auditing.
AI: Partial - AI can generate technically sound, standards-based advice, scenario analyses and audit recommendations, but final advisory responsibility, contextual judgment and regulatory liability typically require human experts.
Collect data for energy conservation analyses, using jobsite observation, field inspections, or sub-metering.
AI: Partial - AI can design data-collection plans, analyze remote or streamed metering and guide field teams, but cannot itself perform physical jobsite observations, field inspections, or sub‑meter installations.
Manage the development, design, or construction of energy conservation projects to ensure acceptability of budgets and time lines, conformance to federal and state laws, or adherence to approved specifications.
AI: Partial - AI can assist with scheduling, budgeting, compliance checking and risk prediction for energy projects, but cannot fully manage stakeholder negotiations, legal sign-offs and complex on-site construction decisions alone.
Perform energy modeling, measurement, verification, commissioning, or retro-commissioning.
AI: Partial - AI can perform energy modeling, automate many measurement & verification calculations and support commissioning workflows, but on-site testing, equipment manipulation and final verification still require human involvement.
Review architectural, mechanical, or electrical plans or specifications to evaluate energy efficiency.
AI: Partial - AI can review digital architectural, mechanical and electrical plans (including BIM) and flag energy-efficiency issues and code noncompliance, but final evaluation and certification usually require licensed engineer review and contextual judgment.
Review or negotiate energy purchase agreements.
AI: Partial - AI can analyze contract language, identify risks, and draft negotiation positions but cannot fully perform live negotiations or replace legal and commercial judgment in contracting situations.
Direct the implementation of energy management projects.
AI: Partial - AI can plan, schedule, monitor progress, and provide implementation guidance, but directing on-site execution and handling real-world stakeholder coordination still requires human leadership and authority.
Research renewable or alternative energy systems or technologies, such as solar thermal or photovoltaic energy.
AI: Partial - AI can perform literature reviews, run simulations, synthesize findings, and propose research directions, but cannot fully carry out experimental validation or hands-on development alone.
Write or install energy management routines for building automation systems.
AI: Partial - AI can write control logic and configuration for building automation systems and validate routines in simulation, but physical installation, systems integration, and safety verification require human oversight and onsite work.
Consult with construction or renovation clients or other engineers on topics such as Leadership in Energy and Environmental Design (LEED) or Green Buildings.
AI: Partial - AI can provide LEED guidance, design suggestions, and compliance checklists, but trusted consulting, accreditation-related decisions, and on-site verification typically require experienced human professionals.