Security Architect - AI Platform

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.