AI Lead
Babylon Labs · Melbourne (remote; company HQ New York)
Leads company-wide AI transformation at Babylon Labs — knowledge systems, tiered agentic workflows, human-in-the-loop automation and the governance and economics of AI infrastructure.
Overview
Babylon Labs builds Bitcoin infrastructure: Bitcoin staking and Babylon Trustless Bitcoin Vaults (TBV). By 2026 most staff were already using AI tools on their own. Jenks's mandate as AI Lead is to turn that individual usage into an organisational capability — safely, measurably and across both engineering and non-engineering teams.
What Jenks does
- Builds a company-wide AI knowledge base so that assistants and agents work from real company context instead of guesses.
- Designs and rolls out tiered agentic systems: low-risk tasks run autonomously, higher-risk work passes human-in-the-loop checkpoints.
- Develops agent-to-agent communication between internal systems.
- Owns AI architecture, infrastructure and governance — balancing model capability, security, reliability and spend — and manages AI infrastructure and AI Ops budgets.
- Runs AI-powered innovation projects and treats AI economics explicitly: for example, when a large per-developer AI budget (on the order of $20k a year) pays back, and how to allocate spend between teams and models.
Achievements
- Moved AI from scattered experimentation to a governed company program spanning engineering and non-engineering functions.
- Put security, credential handling and auditability into the architecture from the start rather than as a later policy layer.
Why it matters to employers
This is the work a Head of AI or AI transformation lead is hired to do: strategy, architecture, governance, adoption and budget — not just a chatbot. Jenks combines it with a decade of platform and ecosystem experience, so he designs AI as infrastructure that other teams can build on. For a company with "300 people using ChatGPT and no strategy", this role is the closest evidence of what he would do in the first six months.