Energy role benchmark

AI Architect vs Generative & Agentic AI Specialist: what energy employers ask for

As of 29 October 2026, Plutarch tracked 77 open AI Architect postings and 42 open Generative & Agentic AI Specialist postings at energy employers.

Skills and tools

Share of the postings we could read in full that name each skill: 57 for AI Architect, 28 for Generative & Agentic AI Specialist.

Skills named in AI Architect and Generative & Agentic AI Specialist postings.
Skill or toolAI ArchitectGenerative & Agentic AI Specialist
LLMs46%64%
Azure60%36%
AI agents58%57%
Generative AI51%46%
Python40%46%
RAG42%39%
AWS39%32%
CI/CD21%39%
Gitnot listed36%
Machine learning30%32%
MLOps32%not listed
Google Cloud30%not listed
Dockernot listed29%
Cybersecurity28%not listed
SQL28%not listed
NLPnot listed25%
Kubernetesnot listed21%
PyTorchnot listed21%
Agile / Scrum19%not listed
API designnot listed18%
DevOps18%not listed

Where the postings are

Countries of open AI Architect and Generative & Agentic AI Specialist postings, as a share of each role's postings.
CountryAI ArchitectGenerative & Agentic AI Specialist
United States39%26%
India12%14%
Canada9%12%
Francenot listed10%
Singaporenot listed7%
Germany4%not listed
Norway4%not listed

How many postings state pay

  • AI Architect: 12 of 43 postings whose pay we could read (28%)
  • Generative & Agentic AI Specialist: 7 of 22 postings whose pay we could read (32%)

Pay levels are not compared here: each role's figures come from different countries and currencies. They are on each role's own page. Pay disclosure tracks local pay-transparency law more closely than employer policy, so the two rates partly reflect where each role is advertised.

“Not listed” means the skill, credential or country is not among those shown on that role's own page, not that no posting names it. This compares what employers ask for in the two roles; it does not count how many people hold those skills or say that one role can do the other.

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