Director, AI ML and Cloud Security

Описание

This role acts as design authority for every AI solution Cyber Architecture and Solutions builds, owning the agentic framework architecture and the data fabric architecture.

Responsibilities

• Act as design authority for every AI solution Cyber Architecture and Solutions builds; nothing enters engineering without a specification from this team
• Own the agentic framework architecture: agent orchestration, tool invocation control, identity binding, least-privilege scoping, human-in-the-loop gates and trust boundaries
• Own the data fabric architecture - what data flows where, at what classification, under what controls, and how the fabric evolves as the vendor introduces agentic capability
• Own the AI reference design and pattern library that Engineering and the vendor build against
• Lead three architects covering solution architecture, standards and governance
• Chair the design authority board where every Cyber Architecture and Solutions AI build is approved or sent back before engineering capacity is allocated
• Assess new AI tool proposals for architectural fit and reject what does not conform
• Rule on feasibility for the highest-risk R&D and business AI proposals that AI Business Facing escalates to you
• Assure vendor handover packages and retain architecture accountability once the vendor operates the solution
• Set the architecture decision record template and arbitrate the decisions it captures, so design rationale stays traceable for audit and regulatory inspection

Requirements

• 12+ years of experience in cybersecurity or AI architecture, including experience leading technical teams across geographies, with expertise in AI architecture, including agentic frameworks, data fabric architecture, AI solution blueprints, and design authority for enterprise AI/ML solutions
• Experience designing agentic frameworks, multi-agent systems, and Retrieval-Augmented Generation (RAG) architectures, including agent design patterns, trust models, orchestration, tool-calling boundaries, identity binding, least-privilege tool scoping, human-in-the-loop approvals, containment, kill switches, and rollback mechanisms
• Experience designing data fabric architectures, including defining how data flows across systems, data classification requirements, applicable controls, and how these architectures evolve as agentic capabilities are introduced
• Experience developing AI solution blueprints for security use cases, including GenAI alert triage, automated investigations, threat summarization, and AI-driven workflows, with experience establishing model and platform selection criteria across hosted and self-hosted LLMs, embeddings, vector stores, and orchestration platforms based on security, cost, latency, and data residency requirements
• Experience incorporating AI security standards and threat modeling into solution design, including frameworks and standards such as the EU AI Act, NIST AI Risk Management Framework (AI RMF), and ISO/IEC 42001, and translating these requirements into technical specifications for engineering teams

Nice to have

• Working understanding of LangChain or LlamaIndex, vector databases, production Python and Kubernetes
• AI use-case feasibility assessment and risk-based prioritisation before engineering build
• Architecture quality review and standards governance
• Regulated industry experience, including GxP and data integrity requirements applied to AI
• North American AI architecture coverage and R&D pipeline engagement (US-based role)

We offer

• Full Time employment
• Remote work mode
• US annual base salary for new hires in this position ranges from $168,750 to $281,250
• Annual bonus and eligibility to participate in a share-based long term incentive program
• Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave