The hardest part of this hire isn't the interview — it's that the market hasn't agreed on the title, the scope, or where the good people are. This is the sequence that works, and the numbers to hold yourself to at each step.
The reason to make this hire is documented. Roughly 88% of AI agent pilots never reach production, and the ~12% that do share one trait first: named ownership (Digital Applied, 2026). Meanwhile 97% of executives say their company deployed agents in the past year, and 95% say roles and team structures are changing because of it (Writer, 2026) — Writer names the emerging role the “AI Agent Owner.”
So write the job description around what this person owns, not the frameworks they know: the agent roadmap, build-vs-buy-vs-hire calls, governance and evals, vendor selection, and — the one that matters — getting agents from pilot to production against a named metric. Titles vary (Head of AI, Chief AI Officer, AI Lead, Head of AI Agents); the mandate shouldn't.
The signal you're looking for is scarce: someone who has actually shipped agents into production, not just prototyped them. That pool overlaps with fractional CAIOs publishing publicly, authors of real agent repositories with consulting practices, and operators who led an internal agent function that reached production. Dev-talent marketplaces (Toptal, Turing, Arc) are deep on engineers but don't index for agent leadership— which is the gap this hire lives in.
Our network of verified Heads of Agents is built for exactly this pool: candidates who have cleared a production-shipping bar, available full-time or fractional.
This is where most searches go soft. The market is nascent enough that plenty of candidates can talk fluently about agents without having shipped one. A real bar checks three things:
We publish our bar in full on the verification standardpage, and every shortlist we send is drawn only from candidates who've cleared it.
Anchor the offer to real ranges so it's neither underpriced nor a bidding war:
| Engagement | Market rate (2026) | Source |
|---|---|---|
| Full-time base (US) | $250k – $540k | VerifyWise, May 2026 |
| Full-time, growth-stage | $250k – $400k | McKelvey |
| Full-time, enterprise | $400k – $1M+ | McKelvey |
| Fractional | $4k – $20k / mo (8–32 hrs) | KORE1, 2026 |
Base salary only; equity and bonus vary and aren't reflected here. Data as of July 2026.
Size a specific offer against your stage with the cost estimator, or go deeper on ranges in the Chief AI Officer salary breakdown.
Full-time searches for this profile are slow because the pool is thin. An average AI engineering search already runs about four months and ~$30k in recruiter fees (AY Automate), and leadership is scarcer than engineers — so four months is a floor, not a promise. Placement fees are 20–30% of first-year comp for contingency and 25–35% for retained search (industry standard).
We place at 25% of first-year salary with a 90-day replacement guarantee, and because our candidates are pre-verified the search is compressed. Full terms are on the pricing page.
If you're not certain of the exact role yet, a fractional leader can define it — then convert or hand off to the permanent hire. It's the fastest way to get named ownership in place while the full-time search runs. Costs for that path are on fractional Head of AI cost, and the trade-offs on fractional vs. full-time. If you want to know which role you need before committing, start with an Agent Readiness Audit.
How do I hire a Head of AI Agents?
Define the mandate (own the agent function, ship to production, name the metric), source from the narrow pool of people who've actually run agents in production, vet against a real bar, and structure comp at market: $250k–$540k US base for full-time (VerifyWise, 2026) or $4k–$20k/mo fractional (KORE1, 2026). Budget four months for a full-time search.
How long does it take to hire a Head of AI?
Plan for around four months for a full-time search — an average AI engineering search already runs ~4 months and ~$30k in fees (AY Automate), and leadership is scarcer. A fractional placement or a fractional-to-permanent path is faster, often days to weeks.
What should a Head of AI Agents own?
Named ownership of the agent function end to end: use-case prioritization, build-vs-buy-vs-hire, governance and evals, vendor selection, and getting agents from pilot to production. The absence of this owner is the single most-cited reason ~88% of agent pilots fail (Digital Applied, 2026).
What does the placement fee cost?
Industry standard is 20–30% of first-year compensation for contingency search and 25–35% for retained. We place at 25% of first-year salary with a 90-day replacement guarantee, from a pool of pre-verified candidates.