Your key responsibilities:

• Lead two AI Ops Engineers — own their delivery, development, and day-to-day work
  

• Prioritise efficiently — manage competing requests from multiple teams by applying a clear prioritisation framework you'll help develop and improve
  

• Build and ship automations and agents that measurably improve how internal teams and customer-facing staff work
  

• Keep the AI tooling stack healthy as usage scales across 2,500+ employees
  

• Stay current on emerging AI tools and technologies - know what's hype and what's actually useful
  

• Help refine AI training for the wider organisation, including Engineering teams
  

Technical Environment 💻

• AI & Agentic Frameworks: Claude, Claude Code, Anthropic tooling, LangChain, MCP, Google ADK (or similar agentic tooling)
  

• Automation & Prototyping: Scripting, workflow tools, AI-assisted development, rapid prototyping (Vercel/Railway)
  

• Enterprise Tooling: Identity automation (Entra), internal platforms, Notion, HiBob integrations
  

• Existing Foundation: Twelve months of Claude, Notion, HiBob, and Entra automations already running in production
  

Our Approach

• Build, don't just advise — this is a hands-on team that ships working automations and agents
  

• Prove the value, then expand — start with two engineers, demonstrate impact, grow from there
  

• Product-focused mindset — treat internal teams as customers and build tooling that works
  

• Cut through the hype — evaluate emerging AI tools on practical value, not marketing buzz