Define security reference architectures for the platform and AI products.
Own identity and authorisation architecture, incl. AI agents and analyst workflows.
Set cryptography architecture: encryption and key-management standards.
Design AI guardrails: input/output controls, authorisation boundaries, defences.
Lead threat modelling on riskiest systems; convert findings into design changes.
Drive secure-by-design across supply chain and attack surface.

🎯 Requirements

Deep expertise in secure software architecture, cryptography, identity, and threat modelling.
Real AI/ML security depth; understand LLM effects on identity, auth, supply chain.
Hands-on technical authority; design and review real systems and defend choices.
Ability to influence senior engineers without formal authority.
Enterprise-scale SaaS or cloud-first experience with consequential architecture decisions.

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