Executive and senior specialist search for AI labs, applied AI and AI infrastructure.

Three forces are reshaping the market for senior AI operators. The frontier-lab bench has compressed: a small number of senior researchers and engineers move between a small number of organisations, and reference networks are tight. Applied AI has matured past proof-of-concept, which has pulled experienced product and infra leaders into AI-native companies and created new senior mandates for those who can ship under evaluation, latency and cost constraints. Model safety and AI governance have moved from research function to board-level remit, with policy and alignment roles now reporting directly into the CEO or board.

Search firms without practitioner depth tend to cycle the same shortlist. They cannot tell whether a Head of Research has shipped a training run to a frontier scale or supervised one. They cannot read whether a Head of Applied AI has actually owned an evaluation harness and a cost ceiling. They cannot tell whether a Distinguished Researcher actually contributed to a frontier training run or sat in on the readouts. They cannot back-channel inside the labs and the academic groups that feed them. Spectrum operates inside the sector and assesses on substance.