Build the substrate from current foundation to production: a versioned, structured knowledge base
Design and ship agent workflows that do real work
Architect for data ownership and vendor independence
Hunt down AI use cases across R&D, operations, and administration
Get production workflows live where they compound
Build the internal craft — prompting, workflow design, agent orchestration
Own the data-governance posture for AI at Swave
Build a shared baseline of AI fluency and identify ambassadors in each team

A real track record building and shipping AI in a live organisation — working systems people actually use, not slideware
Hands-on experience architecting AI agents and memory / retrieval systems
An architect’s mindset, with real computer-science and cloud-architecture literacy
A bias for model-agnostic, future-proof design
Fluency across many AI tools and workflows
A habit of staying at the frontier
Proven effectiveness cross-functionally
The ability to set up projects from scratch and run independently
Strong communication: you make the complex feel accessible
An entrepreneurial mindset with a builder’s instinct

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