Required Experience:

• Hands-on experience building automations — scripting, workflow tools, or AI-assisted development
  

• Hands-on experience building agents using agentic frameworks — LangChain, MCP, Google ADK or similar
  

• Background in enterprise tooling — rapid prototyping tools (Vercel/Railway), identity automation (Entra), or internal platforms
  

• People leadership experience — you've led or mentored engineers and can own a team's delivery and development
  

• 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