Role Overview
We are seeking an experienced Security Architect - AI Platform to design and own the end-to-end security architecture for enterprise AI platforms and future AI deployments.
The successful candidate will act as the technical authority for AI security , defining security architecture, standards, patterns and guardrails for AI and agentic AI workloads.
The role will focus on AI/LLM security, threat modelling, Zero Trust, API security, security tooling, governance and secure AI deployment . The candidate will also work closely with AI vendors and senior stakeholders to ensure AI platforms meet enterprise security requirements.
Key Responsibilities
AI Security Architecture
- Design and own the end-to-end security architecture for enterprise AI platforms.
- Define security architecture principles, standards, patterns and guardrails for AI and agentic AI workloads.
- Lead security architecture decisions for AI deployments and integrations.
- Define and evolve the AI security target operating model .
- Ensure AI platforms are designed and deployed in accordance with enterprise security requirements.
Threat Modelling & Risk
- Lead threat modelling for AI, LLM and agentic AI workloads.
- Identify AI-specific security threats and attack vectors.
- Assess risks including:
- Prompt injection
- Model inversion
- Data poisoning
- Unauthorised data access
- Insecure AI integrations
- Define appropriate security controls and mitigation strategies.
- Apply established security architecture frameworks and methodologies.
Security Architecture & Tooling
- Define security controls for AI tool usage across the enterprise.
- Evaluate and select appropriate security technologies for AI use cases.
- Assess and design solutions involving:
- Data Loss Prevention (DLP)
- API Gateways
- Audit Logging
- Identity and Access Management
- Security monitoring
- Apply Zero Trust, SASE and API security principles to AI architectures.
AI Vendor Security
- Engage with AI vendors regarding security controls and architecture requirements.
- Assess vendor security capabilities and contractual security requirements.
- Provide technical security input into AI vendor evaluations.
- Work with vendors to address security risks and control gaps.
Governance & Stakeholder Management
- Provide expert technical input to the AI Governance Committee .
- Present AI security architecture, risks and recommendations to senior leadership and C-suite stakeholders.
- Work closely with Security, Engineering, Architecture, Legal, Compliance and AI teams.
- Translate complex AI security risks into clear business and technical recommendations.
Required Experience & Skills
Mandatory
- 8+ years of cybersecurity experience .
- 2+ years of hands-on AI/ML security or LLM deployment experience .
- Strong experience designing enterprise security architectures .
- Strong knowledge of Zero Trust architecture .
- Strong knowledge of SASE architecture .
- Strong API security architecture experience.
- Hands-on STRIDE threat modelling experience.
- Experience with security architecture frameworks such as SABSA or TOGAF .
- Strong understanding of AI-specific security risks, including:
- Prompt injection
- Model inversion
- Data poisoning
- Knowledge of GDPR, EU AI Act and NIST AI RMF .
- Strong senior stakeholder and C-suite communication skills.
- Experience with DevSecOps or secure SDLC .
Desirable
- Experience with Anthropic Claude API or comparable enterprise LLM platforms.
- CISSP certification.
- CCSP certification.
- SABSA certification.
- Experience designing security architecture for agentic AI.
- Experience evaluating AI security tooling.
- Experience working directly with AI technology vendors.
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Security Architect - AI Platform in London employer: Vbeyond
Vbeyond is an exceptional employer that fosters a collaborative and innovative work culture in the heart of London. With a strong focus on employee growth, we offer continuous learning opportunities and the chance to work on cutting-edge AI-driven projects that make a real impact. Our commitment to sustainable practices and team integration ensures that you will thrive in a supportive environment while contributing to meaningful advancements in software development.
