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Engineering & Architecture · Updated Aug 2026

Solar Energy Systems Engineers

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.

JVS 2.0.0-phase4b
AI Exposure
62/100
High

How much of this occupation’s work can be materially affected by current AI systems.

Replacement Risk
50/100
Moderate

How likely exposure is to translate into reduced human demand.

Includes provisional estimates for AI adoption pressure and labour-market resilience. How this is measured

Evidence quality
Confidence83/100
Task coverage88%

Confidence reflects task coverage, mapping and capability-evidence quality, and how much of the score rests on provisional inputs.

Task-level evidence

What is driving the score?

Occupation scores are built from the task mix—not a single prediction about a job title.

JVS 2.0.0-phase4b
TaskImportanceAI impactExposure
Design or coordinate design of photovoltaic (PV) or solar thermal systems, including system components, for residential and commercial buildings.High
70
Conduct engineering site audits to collect structural, electrical, and related site information for use in the design of residential or commercial solar power systems.High
70
Create electrical single-line diagrams, panel schedules, or connection diagrams for solar electric systems, using computer-aided design (CAD) software.High
68
Create plans for solar energy system development, monitoring, and evaluation activities.High
57
Perform computer simulation of solar photovoltaic (PV) generation system performance or energy production to optimize efficiency.High
66
Review specifications and recommend engineering or manufacturing changes to achieve solar design objectives.Medium
71
Develop design specifications and functional requirements for residential, commercial, or industrial solar energy systems or components.Medium
70
Perform thermal, stress, or cost reduction analyses for solar systems.Medium
70
Provide technical direction or support to installation teams during installation, start-up, testing, system commissioning, or performance monitoring.High
28
Most exposed

Where AI can do more

Routine, digitized, and highly repeatable tasks face the greatest pressure.

  1. Review specifications and recommend engineering or manufacturing changes to achieve solar design objectives.71
  2. Design or coordinate design of photovoltaic (PV) or solar thermal systems, including system components, for residential and commercial buildings.70
  3. Conduct engineering site audits to collect structural, electrical, and related site information for use in the design of residential or commercial solar power systems.70
  4. Develop design specifications and functional requirements for residential, commercial, or industrial solar energy systems or components.70
Hardest to automate

Where people still matter

These tasks score lowest on automation feasibility—physical presence, judgement, accountability and real-world variability all resist end-to-end automation.

  1. Provide technical direction or support to installation teams during installation, start-up, testing, system commissioning, or performance monitoring.01
  2. Design or coordinate design of photovoltaic (PV) or solar thermal systems, including system components, for residential and commercial buildings.02
  3. Conduct engineering site audits to collect structural, electrical, and related site information for use in the design of residential or commercial solar power systems.03
  4. Create electrical single-line diagrams, panel schedules, or connection diagrams for solar electric systems, using computer-aided design (CAD) software.04
  5. Create plans for solar energy system development, monitoring, and evaluation activities.05
Where else this work leads

Related occupations

Occupations O*NET links to this one. Relatedness reflects shared work, not a claim that these roles are safer.

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Beyond AI capability

Adoption and labour-market outlook

Structural factors are kept separate from raw capability so you can see what actually resists automation. Adoption pressure and labour-market resilience are still provisional models—25% of this occupation’s replacement-risk weight rests on them.

Human dependency70
Physical dependency47
Adoption pressure52
Labour-market resilience65
Methodology & sources

O*NET 30.3 occupational data interpreted through the JobsVsAI capability, automation and structural-constraint models.

Confidence83/100
CalculatedAug 21, 2026
Read methodology →