AI Security Architect (Architecture Review, GenAI & Governance)

Role Summary: The Security Architect will be part of a team who’s role is to assure enterprise security architecture with a focus on the review and authorship of Architecture Decision Records (ADRs) and Security Architecture Review Board (SARB) submissions. The role blends deep technical acumen with emerging expertise in Generative AI (GenAI) and Agentic systems, ensuring secure design, governance, and responsible adoption of intelligent automation within the enterprise. Core Competencies: • Enterprise security architecture (SABSA, TOGAF, NIST CSF). • GenAI systems architecture, LLM lifecycle, and model governance. • AI security patterns (threat modeling for LLMs, data leakage prevention, agent control). • Strong authorship and analytical writing—clear articulation of decisions and consequences. • Familiarity with tools for architectural diagramming, review automation, and GenAI-assisted design (e.g., LangChain, OpenAI GPT, Guardrails AI). • Broad experience across cloud, data, application, and API security domains. Qualifications: 1. Bachelor’s or Master’s in Computer Science, Cybersecurity, or related field. 1. 7+ years of experience in architecture or security design, including AI-related systems. 1. Desirable certifications: CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials (e.g., NIST AI RMF, MIT AI Ethics, Azure AI Engineer). 1. Demonstrable experience with secure implementation of GenAI or autonomous agents in enterprise settings. Success Measures: • Secure-by-design adoption of GenAI and agentic capabilities across business domains. • Clear, complete, and AI-assisted ADRs produced and reviewed efficiently. • Reduced residual security risk in AI and non-AI solutions through proactive architectural engagement. • Recognition as a thought leader in secure GenAI architecture and governance.