About the Role
We are looking for an AI Security Architect to design and establish the Enterprise AI Security Reference Architecture. This role will ensure that all GenAI and Agentic AI platforms are secure, compliant, and aligned with enterprise governance standards across the AI lifecycle.
Responsibilities:
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Define and publish the Enterprise AI Security Reference Architecture as the standard for secure AI design
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Identify trust boundaries, threat surfaces, and control points across the AI ecosystem
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Design security controls for AI models, RAG pipelines, agent frameworks, vector databases, and LLM APIs
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Align AI security architecture with ISO/IEC 42001 and identify gaps with remediation plans
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Design Agent Identity & Access Management (IAM) frameworks for secure agent operations
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Establish secure lifecycle management for AI agents including provisioning, monitoring, and decommissioning
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Develop AI risk classification models and mitigation strategies
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Define security standards for LLM integrations, prompt management, and AI services
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Conduct architectural security reviews for AI solutions and platforms
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Collaborate with engineering and infrastructure teams to ensure secure deployments
Qualifications:
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10+ years of experience in Cybersecurity Architecture or Enterprise Security
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Strong experience with GenAI platforms, LLM architecture, RAG pipelines, and agentic AI security
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Hands-on experience with Azure OpenAI, AWS Bedrock, vector databases, and API security
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Knowledge of OWASP Top 10 for LLM applications and AI-specific threat vectors
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Experience in designing security for cloud-native AI platforms
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Strong understanding of identity management, cryptography, and data protection
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Experience working in regulated industries such as financial services, healthcare, or legal
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Strong problem-solving, stakeholder management, and communication skills
Location: Khi/ Lhr/ Isb