Neurons Lab is hiring a senior AI Enablement Trainer to deliver an AI Adoption Programme for a US mutual fund administration firm (fund formation, governance, regulatory filings, ETF compliance, financial reporting, board reporting). The programme is all-online: half-day workshops delivered weekly across roughly 6–12 weeks on Claude Enterprise and Claude Cowork, with a conservative automation start built around SharePoint-based data flows.
This is a client-facing, senior FSI/BFSI positioning — the trainer must credibly match a "Head of BFSI Solutions" profile. A part-time internal AI platform/governance engineer complements the role for Claude Enterprise setup, the governance session, async support, and the SharePoint connector swap.
Deliver the client AI Adoption Programme end to end — from foundations through function-specific workshops — so that each team leaves with working Claude skills for their real fund-administration workflows and keeps building on their own.
Adapt the agreed curriculum to real artifacts (fee schedules, deferred comp calcs, N-1A filings, fund highlights, board packs) collected during assessment
Personally deliver the online half-day workshops to a mostly non-technical audience with mixed AI familiarity
Design and run hands-on exercises: build 3 Claude skills live per function workshop using their own documents and SharePoint data flows
Teach the "team extends" method so staff can decompose their own workflows into skills after the workshop
Run 1.5h office-hours sessions (1 week and 1 month post-workshop) and triage questions raised there
Coordinate with the governance/platform engineer so foundations, governance, and function content stay consistent
Collect feedback after each session and adjust the following sessions accordingly
Escalate engineering-grade opportunities to the account team
Excellent live facilitation and presentation for non-technical professionals; can hold a 4-hour online session with high engagement
Daily practical fluency with Claude (Enterprise, Cowork, Projects, skills), prompt engineering, and agentic workflows — able to build a working skill live and debug it on the spot
Ability to decompose an expert's workflow (e.g., a fee calculation or filing update) and rebuild it as an AI-assisted process
Clear communication of AI limitations, failure modes, and safe-use practices in a regulated environment
English: fluent, client-facing; comfortable presenting to US audiences
Financial services domain — ideally fund administration / asset management operations: fund accounting, fee calculations, ETF compliance, regulatory filings (N-1A), board/CCO reporting. BFSI experience is mandatory; fund admin specifics are a strong plus
Governance and safe-AI concepts for regulated firms: RBAC, data residency, read-only access, prompt injection
Current AI tooling landscape (Claude ecosystem, MCP/connectors, SharePoint integration patterns at a conceptual level)
5+ years designing and delivering corporate training/workshops (not just conference talks)
Delivered AI/GenAI enablement to business teams in banking, finance, or insurance
Built AI-assisted workflows or skills used in production by non-technical teams
Public-facing credibility (publications, talks, community) supporting "senior FSI AI expert" positioning
Format: project-based / freelance (per engagement)
Allocation: ~6 half-day sessions + prep + office hours across 6–12 weeks; est. 0.2–0.3 FTE equivalent
Time zone: must overlap US business hours for live delivery (remote, online)
Location: remote (EU/US)
Start date: September 2026 target (prep from August)
