Role Overview
We are seeking an experienced VP, AI Security Architect to provide strategic and hands-on security architecture leadership across Artificial Intelligence (AI), Generative AI, cloud, digital assets, and emerging technology platforms.
The successful candidate will be responsible for assessing complex technology designs, defining secure AI adoption frameworks, establishing security architecture patterns, and partnering with engineering, architecture, risk, and business teams to enable innovation while maintaining strong security-by-design principles.
This role requires a senior security professional with deep technical expertise, strong architecture judgement, and the ability to navigate emerging technology risks within a large enterprise or regulated financial services environment.
Key Responsibilities
- Lead security architecture assessments for AI/GenAI platforms, cloud-native solutions, digital assets, applications, APIs, and emerging technologies.
- Define secure AI architecture patterns covering LLMs, RAG solutions, AI agents, AI platforms, model lifecycle management, and enterprise AI adoption.
- Evaluate AI security risks including prompt injection, data leakage, model abuse, adversarial attacks, insecure integrations, and AI supply chain risks.
- Develop AI security governance frameworks, controls, and standards aligned with industry best practices and regulatory expectations.
- Perform architecture reviews by analysing solution designs, data flows, trust boundaries, identity models, integration patterns, and security controls.
- Challenge architecture decisions, identify security gaps, and recommend practical security solutions that balance risk management with business objectives.
- Establish reusable security patterns across AI, cloud, application security, identity, data protection, and secure development practices.
- Partner with architects, engineers, developers, risk teams, and technology leaders to embed security throughout the technology lifecycle.
- Provide security guidance for emerging technologies where standards and practices continue to evolve.
- Act as a trusted security advisor to senior stakeholders, communicating complex technical risks and recommendations effectively.
Requirements
- Bachelor's degree in Information Security, Computer Science, Engineering, or related discipline. A Master's degree in Information Security, Computer Science, or related field is advantageous.
- 15+ years of cybersecurity experience, with significant hands-on experience in security architecture, security engineering, application security, cloud security, or technology risk.
- Proven experience performing security architecture reviews within large enterprises, financial institutions, regulated industries, or complex technology environments.
- Strong technical understanding across:
- AI/Generative AI Security
- Cloud Security (AWS/Azure/GCP)
- Application and API Security
- Identity and Access Management (IAM/PAM)
- Data Protection and Encryption
- Cryptography
- Secure Software Development Lifecycle (SSDLC)
- Security Monitoring and Threat Detection
- Ability to interpret complex architecture diagrams, identify control gaps, assess security risks, and define practical remediation approaches.
- Strong individual contributor mindset with the ability to operate independently while influencing stakeholders across technology and security teams.
- Strong risk-based decision-making skills with the ability to support business innovation while maintaining security standards.
- Excellent communication skills with the ability to explain complex security concepts to both technical and non-technical stakeholders.
- Comfortable working across multiple technology domains and rapidly assessing new and emerging technologies.
Preferred Experience
AI / Generative AI Security
- Practical experience securing:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG) architectures
- AI agents and agentic workflows
- Enterprise AI platforms and open-source AI ecosystems
- Experience with:
- AI threat modelling
- AI red teaming
- Prompt injection prevention
- AI guardrails and content safety controls
- Secure AI lifecycle practices
- AI model governance and onboarding processes
- AI supply chain security
- Familiarity with AI security frameworks and standards such as:
- NIST AI Risk Management Framework (AI RMF)
- OWASP Top 10 for LLM Applications
- MITRE ATLAS
- Cloud Security Alliance (CSA) AI Controls
Cloud & Enterprise Security
- Experience securing enterprise AI/cloud platforms such as:
- Microsoft Copilot
- Azure OpenAI Service
- AWS Bedrock / SageMaker
- Equivalent enterprise AI platforms
- Strong understanding of cloud security architecture, landing zones, identity controls, workload isolation, and data protection.
Digital Assets / Blockchain Security
- Understanding of blockchain and digital asset security concepts, including:
- Custody architecture
- Wallet and key management
- Tokenisation
- Smart contract security
- Public blockchain risk considerations
Application & Platform Security
- Experience with:
- API security
- Authentication and authorization models
- Secure integration patterns
- Software supply chain security
- DevSecOps practices
- Secure coding principles
Ideal Candidate Profile
A senior security architect who combines deep technical expertise, architecture leadership, and strategic thinking — someone who can assess emerging AI technologies, identify security implications, and enable secure adoption of next-generation platforms within a complex enterprise environment.
