How to Use AI to Write Better AEC Talent Search Criteria
AI can turn a long AEC job description into cleaner sourcing criteria by separating true requirements from preferences. The final search should specify discipline, geography, licensure, experience, project background, client or agency exposure and the flexibility around each criterion.
Start with the job description
Ask the AI to identify every qualification, then group them into must-have, preferred and unclear categories.
Make geography explicit
Define whether the market is a city, metro, commuting radius, state or multi-state region. A vague location creates a vague talent pool.
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Book a 15–20 Minute DemoSeparate credentials from capability
A PE, RA or PLS may be mandatory, while a certification or software tool may be learnable. Treating every line item equally can make the pool artificially small.
Add project and client context
For specialized AEC searches, project type, public-agency experience, sector knowledge and leadership scope often matter more than the exact job title.
Launch your toughest searches
AECIQ works as an extension of your hiring team. You set the criteria and choose the prospects. AECIQ handles the research, verification and outreach, and interested candidates are handed directly to your firm.
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