Technical Co-Founder — Sovereign AI Verification Infrastructure

Job description

We're building the Moody's of autonomous systems. This is the technical co-founder role.

$650B+ of sovereign AI investment is being deployed globally.

The EU AI Act enforces from August 2026.

UK SM&CR makes executives personally and criminally liable for AI they deploy.

Lloyd's is excluding GenAI from policies entirely.

Every regulated institution deploying AI needs independent verification infr...astructure — and no infrastructure-grade solution exists.

We're building it.

Not compliance SaaS.

Not an LLM wrapper.

Infrastructure that sits between autonomous systems and the regulated world — the way Moody's sits between issuers and capital markets.

Harvey AI ($5B) did this for legal.

Vanta ($4.15B) did it for compliance.

We're doing it for sovereign AI verification.

The CEO brings deep regulatory networks — King's Counsel, ex-FCA regulators, Lloyd's underwriters, sovereign government relationships across UK, EU, and GCC.

A Founding Engineer is in place for implementation.

What's missing is the technical leader who sets the architectural direction and builds this into a category-defining company.

The hard problems:

→ Verification models for AI systems that are themselves evolving — continuous evaluation, not static audits → RLHF annotation schemas that capture regulatory nuance across jurisdictions without collapsing to generic labels → A data flywheel where every expert attestation compounds into increasingly accurate automated review → Sovereign-first infrastructure with structural immunity to foreign jurisdictional overreach → Real-time telemetry for multi-agent systems with sub-second intervention capabilities

What you'd own:

Year 1 — The architectural decisions that determine whether this becomes infrastructure or just another SaaS product.

Sovereign cloud design.

RLHF schema.

Verification model approach.

Data architecture.

You work alongside a Founding Engineer and ship the MVP as the technical co-founder who sets the standard for everything that follows.

Year 2+ — Scale the engineering team.

Multi-zone sovereign deployment.

Cascade kill switch for multi-agent systems.

You're in the room for the major VC round explaining why the sovereign data moat and regulatory lock-in create a defensible infrastructure company.

The opportunity:

• Co-founder-level equity — meaningful double-digit stake, 4-year vest, 1-year cliff, milestone acceleration

• Bootstrap model — VC round raised from strength, not desperation

• Below-market cash Year 1, scaling aggressively with revenue

• London preferred, UK remote considered

You might be:

→ A researcher or senior engineer from DeepMind, Meta FAIR, Anthropic, OpenAI, or a frontier AI lab → A senior infrastructure engineer from CrowdStrike, Datadog, Palantir, or Stripe → An exceptional graduate of Cambridge, Oxford, Imperial, ETH Zurich, CMU, Stanford, MIT, or equivalent — with open source, shipped products, and published research (NeurIPS, ICML, IEEE) → A senior engineer from RegTech/FinTech (Onfido, ComplyAdvantage, Thought Machine, Quantexa, Revolut)

Must-haves:

• You write production code today — Python + cloud infrastructure minimum

• You've built and shipped, not just researched

• You can hold your own in a Tier 1 VC partner meeting

• Based in the UK or relocating.

Full-time from day one.

DM me with:

(1) What you've built — be specific (2) A link (GitHub, paper, product) (3) Why this problem interests you

No generic CVs.

Builders only.

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