AI Adoption Architect

Alt

Greater London

On-site

GBP 70,000 - 110,000

Full time

7 days ago
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Job summary

Neko is moving from teaching people to build with AI to reinventing its largest workflows, aiming for step changes and not 10% gains (Chase 10X, not 10%). The AI Acceleration Specialist is a consultant builder who works with teams across Neko: they build the thing, teach the team to build it, or design the solution and hand it over.

The role helps run the internal product development lifecycle (discovery, building, distribution, adoption, iteration) and is judged on adoption, not on building

Qualifications

  • One to three examples of taking a business problem, listening to it, and building and deploying a solution, with at least one end-to-end on moderate complexity and limited guidance.
  • High trainability and a growth mindset: learns fast and applies it without being asked.
  • Willingness to learn process mapping quickly; a short course is available.

Responsibilities

  • 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 activity, with tracking from the start.
  • Consulting engagements tracked: how many one-to-ones and team sessions helped others learn or unblock.
  • At least two high-value workflows mapped and redesigned with owners, with before-and-after in hours or money agreed.
  • Intake and tracking for AI Acceleration run end-to-end within a defined remit.

Skills

Applied AI familiarity
Growth mindset
Process mapping
Listening & problem solving

Job description

Neko is moving from teaching people to build with AI to reinventing its largest workflows, aiming for step changes and not 10% gains (Chase 10X, not 10%). The AI Acceleration Specialist is a consultant builder who works with teams across Neko: they build the thing, teach the team to build it, or design the solution and hand it over.

The role helps run the internal product development lifecycle (discovery, building, distribution, adoption, iteration) and is judged on adoption, not on building

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