Description

Lead security architecture reviews and governance for enterprise systems, with a specific focus on GenAI, agentic platforms, and LLM integrations.

This role is hybrid.

Responsibilities

• Lead security reviews of solution architectures, ADRs, and AI-enabled platforms, assessing model security, data protection, and prompt integrity.
• Author and maintain ADRs, patterns, and reference architectures for GenAI system integration, LLM usage, and multi-agent frameworks.
• Define and assess controls for GenAI systems, including guardrails for autonomous agents, secure orchestration, and isolation mechanisms.
• Lead threat modeling for composite systems where GenAI interacts with APIs, data stores, and user environments.
• Mentor peers in human-AI collaborative authoring and refine GenAI tools for document review and security design assistance.

Required Skills

• 7+ years of experience in architecture or security design, including AI-related systems.
• Deep expertise in GenAI systems architecture, LLM lifecycle, and model governance.
• Proficiency in AI security patterns, including threat modeling for LLMs, data leakage prevention, and agent control.
• Strong knowledge of enterprise security architecture frameworks such as SABSA, TOGAF, and NIST CSF.
• Familiarity with GenAI-assisted design tools (e.g., LangChain, OpenAI GPT, Guardrails AI) and architectural diagramming.
• Broad experience across cloud, data, application, and API security domains.
• Bachelor's or Master's degree in Computer Science, Cybersecurity, or a related field.

Preferred Skills

• CISSP, CCSP, SABSA, TOGAF, or AI-specific credentials (e.g., NIST AI RMF, MIT AI Ethics, Azure AI Engineer).
• Demonstrable experience with secure implementation of GenAI or autonomous agents in enterprise settings.

Key Skills

Education

Bachelor's or Master's degrees