Consultant (LLM/AI Skillset)
evolv Consulting · Dallas, TX
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Jul 10, 2026
Dallas, TX
Jul 20, 2026
What this job asks for AI summary
Mid level · 3+ years · Dallas-Fort Worth-Arlington, TX
Posted 2 times — it's one opening, so apply once.
We read this from the posting text with AI. Skim the description below before ruling yourself out.
How this req sits in the market our data
Roughly 2,400 people in the Dallas-Fort Worth-Arlington, TX area plausibly meet what this posting asks for (data scientists). range 1,800–3,150
Applicant volume Heavy — This req sits in a large pool with little in its requirements to thin it, and auto-apply tools fire at everything in the occupation. Applying early and leading with the rare skills below is what gets read.
What the occupation pays Median $130,559 (middle half $92,500–$149,977).
Estimated from BLS employment for this occupation and area, per-skill prevalence across our listing corpus, and published wage benchmarks — as of Jul 28, 2026. It is a model, not a headcount.
Why we read it this way (6)
This posting is genuinely ambiguous in its primary occupation. The title is 'Consultant (LLM/AI Skillset)' and the responsibilities describe hands-on ML/AI work (RAG, LLMs, NLP, vector databases), but the hard-gated requirements in the Requirements section focus almost entirely on the Product Owner/Product Manager role with 3+ years of Scrum experience — not on ML engineering or data science credentials. The AI/ML responsibilities appear in the narrative duties section without corresponding hard requirements.
All AI/ML and LLM-related skills (LLMs, RAG, NLP, NLU, NLG, Cohere, vector databases) appear only in the Responsibilities narrative, not in the Requirements section, so they are marked as preferred rather than hard gates.
The only hard-gated experience is 3+ years as a Product Owner/Product Manager applying Scrum principles, plus in-depth knowledge of Agile — these are the only skills listed under the Requirements heading.
Bachelor's degree is listed as 'preferred' in the Requirements section, so it is not treated as a hard requirement.
No compensation, remote status, or employment type is stated in the posting.
The confidence in the occupation is Low because the role is split between a Product Owner function (which would be non-technology or 15-1211) and hands-on AI/ML engineering (15-2051); the Requirements section gates on the former while the Responsibilities describe the latter.
Read the full posting
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