Description

The Security Architect leads enterprise security architecture reviews and governance, with a specific focus on securing Generative AI and agentic systems.

This role is on-site.

Responsibilities

• Lead security reviews of solution architectures, Architecture Decision Records (ADRs), and Security Architecture Review Board (SARB) submissions.
• Assess GenAI and agentic designs for model security, data protection, prompt integrity, and safe orchestration of autonomous agents.
• Author and maintain ADRs, patterns, and reference architectures covering LLM usage, multi-agent frameworks, and responsible AI policies.
• Define and assess controls for GenAI systems, including guardrails, isolation mechanisms, and defenses against prompt injection.
• Lead threat modeling for composite systems where GenAI interacts with APIs, data stores, and user environments.

Required Skills

• 7+ years of experience in architecture or security design, including AI-related systems.
• Deep knowledge of GenAI systems architecture, LLM lifecycle, and model governance.
• Proficiency with LLM pipelines, LangChain, and frameworks like Vertex AI or Azure OpenAI.
• Experience with RAG architectures and secure implementation of autonomous agents.
• Strong understanding of enterprise security standards (SABSA, TOGAF, NIST CSF).
• Broad experience across cloud, data, application, and API security domains.
• Familiarity with AI security patterns, including threat modeling for LLMs and data leakage prevention.
• Strong analytical writing skills for clear articulation of architectural decisions and trade-offs.

Preferred Skills

• Certifications such as CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials (e.g., NIST AI RMF).
• Experience with Guardrails AI or similar tooling for AI safety and governance.
• Familiarity with using GenAI tools for document review and security design assistance.

Key Skills

Education

Any Graduate