About the project

Neurons Lab is an FSI-focused AI consultancy delivering agentic AI for banks, insurers, and asset/wealth managers across EU, UK, and APAC.

The EU AI Act is now partially in force: Article 50 transparency obligations (AI disclosure, machine-readable content marking) apply since August 2026, while high-risk obligations were deferred by the Digital Omnibus to December 2027 — creating a readiness-programme window for our clients rather than a panic-compliance one.

First assignment — international bank, EMEA division (London, October 2026).

A 6-session (1–1.5h each) in-person training programme for the bank's AI Governance Committee: cross-functional, non-technical reviewers (data privacy, legal, HR, cybersecurity, AI product, infosec) who assess AI use-case risk.

Curriculum: AI fundamentals → regulatory risks (EU AI Act, GDPR, Art 50 transparency) → cybersecurity risks → bias/fairness and performance → risk identification and controls, with hands-on exercises using the client's own risk assessment forms.

The programme also includes redesigning their risk assessment workflow into simplified, team-specific forms. Delivery follows a specialist-coaches model: you anchor the regulatory/governance and controls modules, paired with a technical trainer for fundamentals and security sessions.

Beyond the first assignment, the role operates across both Neurons Lab revenue motions: governance trainer inside AI Adoption Programs (executive workshops for boards and C-level at FSI firms), and compliance advisor to engineering delivery on high-risk use cases in our pipeline — credit scoring, underwriting, claims (Annex III categories). You will also help standardize our AI Act handover pack (self-assessment + system card, first produced for a German credit bureau client) into a default billable deliverable.

This is a Talent Network engagement, not a full-time position. You work as a freelance contractor at ~0.2–0.4 FTE per project, with possible gaps between projects, and you're free to hold other commitments alongside Neurons Lab.

Objective

Deliver the first client governance training programme to a 90%+ satisfaction standard, then make AI governance a productized capability: standard workshop module in every AI Adoption Program, standard documentation pack on every AI build, and credible regulatory positioning that helps close high-risk FSI engineering deals.

KPI

CSI ≥ 90% on client sessions and subsequent governance workshops

Client risk-assessment workflow redesign accepted (simplified team-specific forms in use)

AI Act documentation pack delivered as standard on 100% of in-scope AI builds

Retrospective Art 50 review completed across active/recent client systems, with ≥ 2 resulting expansion conversations opened

Areas of Responsibility

Deliver executive AI governance sessions (in-person London for the first assignment; 2–4h formats elsewhere) — AI Act obligations and timeline, UK divergence, sector-specific FSI requirements, Article 4 AI literacy duty

Design and facilitate hands-on risk-identification exercises using the client's own risk assessment artifacts; redesign review workflows and forms where in scope

Determine per-project role classification (provider vs. deployer vs. contractor/integrator) and risk categorization; define the resulting engineering requirements (disclosure, marking, logging, human oversight) with delivery teams

Standardize and own the reusable governance asset library (self-assessment, system card, information annex); support Legal on contract template updates

Track regulatory developments (implementing acts, harmonized standards, EBA/EIOPA/FCA guidance) and support pre-sales on governance-led opportunities

Skills

Expert command of the EU AI Act including Digital Omnibus changes; working knowledge of GDPR, DORA, ISO/IEC 42001, NIST AI RMF, and UK regulator positions

Ability to translate legal obligations into concrete review criteria, documentation, and engineering requirements for LLM/agentic systems

Executive-grade facilitation — credible in front of a bank's governance committee and board; able to bridge terminology between model risk management and modern AI teams