AI Acceleration Catalyst

Neko Health AB

Greater London

Vor Ort

GBP 70.000 - 110.000

Vollzeit

Vor 10 Tagen

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

Neko Health AB is seeking an AI Acceleration Specialist to drive adoption across internal product development lifecycles. You will build, teach, or hand over AI-enabled solutions, with a focus on measurable adoption and impact across teams.

The role targets embedding an AI builder in each team, supporting discovery, building, distribution, adoption, and iteration as part of a cross-functional People team initiative.

Qualifikationen

  • Working familiarity with applied AI: large language models, context, retrieval, agents, connectors and evaluation.
  • High trainability and a growth mindset: learns fast and applies it without being asked.
  • Process mapping, or visible willingness to learn it quickly.

Aufgaben

  • Fluency in the internal product development lifecycle, applied in every engagement without step‑by‑step direction.
  • Workflows you own from discovery to adoption stay in use. Success is adoption, not building, with tracking in place from the start.
  • Consulting engagement, tracked: how many one‑to‑ones and team sessions helped others learn or unblock.
  • At least two high‑value workflows mapped and redesigned with the teams that own them, with a before‑and‑after in hours or money agreed with the owner.
  • AI Acceleration's own intake and tracking running with less manual coordination, owned end to end within a defined remit.

Kenntnisse

Applied AI familiarity
Process mapping
Growth mindset
Team collaboration

Jobbeschreibung

Neko Health AB is seeking an AI Acceleration Specialist to drive adoption across internal product development lifecycles. You will build, teach, or hand over AI-enabled solutions, with a focus on measurable adoption and impact across teams.

The role targets embedding an AI builder in each team, supporting discovery, building, distribution, adoption, and iteration as part of a cross-functional People team initiative.

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