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Solar Energy Systems Engineers

SOC: 17-2199.11 · Job Zone: 4

AI Impact Score: 52/100 — Partial Automation Likely
By Meo Advisors Editorial, Editorial Team
AI Score
52/100
Partial Automation Likely
Employment
151K
Median Wage
$117,750
per year
Timeline
5-10 years
to significant impact

Key Takeaways

  • AI Impact Score: 52/100Partial Automation Likely. Partial automation is likely for key tasks in this occupation.
  • 151K workers currently employed.
  • Mean annual wage: $117,750. Higher wages create stronger economic incentive for AI replacement.
  • 4 of 13 key tasks can already be performed by AI tools today.

What Solar Energy Systems Engineers Do

Perform site-specific engineering analysis or evaluation of energy efficiency and solar projects involving residential, commercial, or industrial customers. Design solar domestic hot water and space heating systems for new and existing structures, applying knowledge of structural energy requirements, local climates, solar technology, and thermodynamics.

Also known as

Common HR-system job titles that map to this O*NET occupation (17-2199.11). Use these terms in resumes, postings, and org charts to match this AI-replaceability profile.

Applications EngineerConsulting EngineerEngineerPhotovoltaic System Designer (PV System Designer)Power Systems EngineerProject EngineerRenewable Energy SpecialistResearch EngineerSolar Applications Development EngineerSolar Array Engineer

Have a job title that doesn't appear here? Upload your org chart to score your full headcount against AI replaceability.

AI Impact Analysis

Solar Energy Systems Engineers represent a specialized segment of the engineering workforce with 150,750 professionals earning a mean annual wage of $117,750. This role sits at the intersection of renewable energy growth and engineering automation, making it particularly vulnerable to AI disruption as the solar industry scales rapidly and standardizes design processes.

AI is already automating core engineering tasks in this field. Computer simulation of solar PV system performance is being handled by specialized AI platforms like Aurora Solar and Helioscope, which use machine learning to optimize efficiency calculations. CAD software creation of electrical diagrams is being augmented by AI-powered tools like Autodesk Fusion 360's generative design features and SolarCAD's automated layout generators. Site audits and structural analysis are being partially automated through drone-based data collection platforms like Loveland Innovations and SiteCapture, which use computer vision to assess roof conditions and generate preliminary engineering reports.

Critical human-essential tasks center around complex problem solving, regulatory compliance evaluation, and client communication. The high importance of reading comprehension (4/5) and critical thinking (4/5) reflects the need for engineers to interpret complex local building codes, utility interconnection requirements, and safety standards that vary significantly by jurisdiction. Technical direction during installation and system commissioning requires real-time decision making and social perceptiveness that current AI cannot replicate effectively.

The next 1-3 years will see AI tools handling routine design calculations and basic system sizing, while 3-5 years will bring automated preliminary site assessments and standardized system designs for typical installations. However, custom commercial and industrial projects requiring complex structural analysis and multi-stakeholder coordination will remain human-dominated through this timeline.

Major solar companies like Tesla Solar, SunPower, and Enphase are already deploying AI-powered design tools to reduce engineering time per project. Installation companies are using platforms like OpenSolar and PVLib to automate system modeling, while utilities are implementing AI-driven interconnection analysis tools to streamline approval processes.

Task-by-Task AI Analysis

TaskAI Status
Conduct engineering site audits to collect structural, electrical, and related site information for use in the design of residential or commercial solar power systems.
AI can process drone imagery and satellite data for preliminary assessments, but complex structural evaluations require human expertise.
AI Assists
1-2 years
Create plans for solar energy system development, monitoring, and evaluation activities.
AI assists with template generation and scheduling, but strategic planning requires human judgment.
AI Assists
Now
Design or coordinate design of photovoltaic (PV) or solar thermal systems, including system components, for residential and commercial buildings.
AI handles standard residential designs but complex commercial systems need human oversight.
AI Assists
1-2 years
Provide technical direction or support to installation teams during installation, start-up, testing, system commissioning, or performance monitoring.
Real-time problem solving and team communication require human presence and social skills.
Human Essential
5+ years
Create electrical single-line diagrams, panel schedules, or connection diagrams for solar electric systems, using computer-aided design (CAD) software.
AI can generate standard electrical diagrams from system specifications automatically.
AI Can Do This
1-2 years
Perform computer simulation of solar photovoltaic (PV) generation system performance or energy production to optimize efficiency.
AI excels at performance modeling and optimization calculations using weather and shading data.
AI Can Do This
Now
Review specifications and recommend engineering or manufacturing changes to achieve solar design objectives.
AI can analyze specifications but engineering judgment for recommendations requires human expertise.
AI Assists
3-5 years
Develop design specifications and functional requirements for residential, commercial, or industrial solar energy systems or components.
AI assists with documentation but custom requirements need human technical knowledge.
AI Assists
1-2 years
Develop standard operation procedures and quality or safety standards for solar installation work.
AI can draft procedures but safety standards require human verification and regulatory knowledge.
AI Assists
3-5 years
Create checklists for review or inspection of completed solar installation projects.
Standardized checklists can be automatically generated based on project specifications and local codes.
AI Can Do This
Now
Perform thermal, stress, or cost reduction analyses for solar systems.
AI-powered simulation tools can perform complex thermal and stress calculations efficiently.
AI Can Do This
1-2 years
Test or evaluate photovoltaic (PV) cells or modules.
AI can analyze test data patterns but physical testing setup requires human oversight.
AI Assists
3-5 years
Design or develop vacuum tube collector systems for solar applications.
Specialized thermal system design requires deep engineering knowledge and custom solutions.
Human Essential
5+ years

AI Tools Disrupting Solar Energy Systems Engineers

Aurora Solarhigh impact
Design Automation
Solar system design and performance simulation tasks
Helioscopehigh impact
Simulation Platform
PV system performance modeling and optimization
SiteCapturemedium impact
Computer Vision
Site audits and structural data collection
Autodesk Fusion 360medium impact
AI-Powered CAD
Electrical diagram and technical drawing creation
UiPathmedium impact
RPA
Checklist generation and documentation workflows
GPT-4low impact
AI Assistant
Technical writing and specification development

Key Skills

Reading Comprehension
4.0 / 5
Critical Thinking
4.0 / 5
Writing
3.9 / 5
Speaking
3.9 / 5
Complex Problem Solving
3.9 / 5
Active Listening
3.8 / 5
Mathematics
3.4 / 5
Judgment and Decision Making
3.4 / 5
Science
3.3 / 5
Active Learning
3.3 / 5
Monitoring
3.3 / 5
Social Perceptiveness
3.0 / 5

Key Tasks

  • Conduct engineering site audits to collect structural, electrical, and related site information for use in the design of residential or commercial solar power systems.
  • Create plans for solar energy system development, monitoring, and evaluation activities.
  • Design or coordinate design of photovoltaic (PV) or solar thermal systems, including system components, for residential and commercial buildings.
  • Provide technical direction or support to installation teams during installation, start-up, testing, system commissioning, or performance monitoring.
  • Create electrical single-line diagrams, panel schedules, or connection diagrams for solar electric systems, using computer-aided design (CAD) software.
  • Perform computer simulation of solar photovoltaic (PV) generation system performance or energy production to optimize efficiency.
  • Review specifications and recommend engineering or manufacturing changes to achieve solar design objectives.
  • Develop design specifications and functional requirements for residential, commercial, or industrial solar energy systems or components.
  • Develop standard operation procedures and quality or safety standards for solar installation work.
  • Create checklists for review or inspection of completed solar installation projects.
  • Perform thermal, stress, or cost reduction analyses for solar systems.
  • Test or evaluate photovoltaic (PV) cells or modules.

Technology Skills Used

Hot + In Demand  Hot Technology  In Demand   ↗ = View AI replaceability analysis

Salary Range

N/A
N/A
Median: $117,750
10th percentile90th percentile

Career Transition Guidance

Solar Energy Systems Engineers have strong transition opportunities within the renewable energy sector. The most natural progression is to Wind Energy Engineers (17-2199.10) or Energy Engineers, Except Wind and Solar (17-2199.03), leveraging transferable skills in system design, performance analysis, and regulatory compliance. These roles require similar technical foundations but may offer better long-term AI resistance due to greater complexity and customization requirements.

Alternatively, moving into management roles like Solar Energy Installation Managers (47-1011.03) or Wind Energy Development Managers (11-9199.10) capitalizes on technical expertise while focusing on human-essential skills like team leadership and project coordination. The transition timeline is typically 2-3 years with additional project management training. Sales-oriented professionals might consider Solar Sales Representatives and Assessors (41-4011.07), though this represents a significant career pivot requiring 6-12 months of sales training and relationship-building skill development.

Related Occupations

Solar Sales Representatives and Assessors
41-4011.07
Solar Energy Installation Managers
47-1011.03
Solar Thermal Installers and Technicians
47-2152.04
Energy Engineers, Except Wind and Solar
17-2199.03
Wind Energy Engineers
17-2199.10
Electrical Engineers
17-2071.00
Wind Energy Development Managers
11-9199.10
Energy Auditors
47-4011.01
Mechanical Engineers
17-2141.00
Electronics Engineers, Except Computer
17-2072.00
Solar Photovoltaic Installers
47-2231.00
Wind Turbine Service Technicians
49-9081.00

Frequently Asked Questions

Will AI replace Solar Energy Systems Engineers?

No, AI will not fully replace Solar Energy Systems Engineers. With a moderate AI impact score of 52/100, significant automation will occur in routine tasks like performance simulations and standard designs, but the 150,750 professionals in this field will see role evolution rather than elimination over the next 5-10 years.

What AI tools are used in Solar Energy Systems Engineers roles?

Current AI tools include Aurora Solar and Helioscope for performance modeling, Autodesk Fusion 360 for automated CAD design, SiteCapture for drone-based site analysis, and general productivity tools like Microsoft Copilot and GPT-4 for documentation and planning tasks.

What is the salary outlook for Solar Energy Systems Engineers with AI?

The current mean annual wage of $117,750 is likely to remain stable or increase for engineers who adapt to AI tools, as they will handle more complex projects while AI automates routine work. Demand remains strong in the growing renewable energy sector.

What skills should Solar Energy Systems Engineers develop for the AI era?

Focus on strengthening critical thinking (importance: 4/5), complex problem solving (3.88/5), and social perceptiveness (3/5) skills that AI cannot replicate. Develop expertise in AI tool integration, regulatory compliance, and client relationship management to remain competitive.

How many Solar Energy Systems Engineers jobs are there in the US?

There are currently 150,750 Solar Energy Systems Engineers employed in the US. While specific growth projections are not available, the renewable energy sector's expansion suggests continued demand despite AI automation of routine tasks.