Security Architect – Hybrid in Toronto

We are looking for a Security Architect to join our consulting team on a permanent basis. This is a hybrid position. As a Chrome Technologies consultant, the successful candidate will work with our clients to deliver the projects they have entrusted to us.

Key Responsibilities

• Architecture Review & Advisory
  • Lead security reviews of solution and domain architectures, ADRs, and AI-enabled platforms.
  • Assess GenAI and agentic solution designs for model security, data protection, prompt integrity, provenance, and safe orchestration of agents.
  • Evaluate proposals for alignment with enterprise standards, regulatory expectations, and risk tolerance.
  • Produce actionable review comments with traceable recommendations, covering both traditional and AI-driven architectures.
• Authoring & Governance
  • Author and maintain ADRs, patterns, and reference architectures-including those covering GenAI system integration, LLM usage, and multi-agent frameworks.
  • Ensure architectural documentation expresses the problem space, options, controls, and trade-offs clearly and defensibly.
  • Promote structured architectural reasoning supported by both human and GenAI-assisted analysis workflows.
• GenAI & Agentic Security
  • Define and assess controls for GenAI systems, including model access, data boundary, and prompt injection defenses.
  • Guardrails for AI agents performing autonomous actions or multi-step reasoning.
  • Secure orchestration, isolation, and human oversight mechanisms.
  • Evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms (e.g., Vertex AI, Azure OpenAI).
  • Contribute to enterprise policy for responsible AI use and GenAI-assisted development.
• Technical Leadership
  • Provide domain expertise in application, cloud, and data security-augmented by AI security design considerations.
  • Support teams in safely embedding GenAI copilots, RAG systems, and autonomous agents within business processes.
  • Lead threat modeling for composite systems where GenAI interacts with APIs, data stores, and user environments.
• Continuous Improvement & Automation
  • Use and refine GenAI tools for document review, security design assistance, and ADR quality assurance.
  • Develop reusable prompts, review heuristics, and decision frameworks that enhance SARB throughput and consistency.
  • Mentor peers in human-AI collaborative authoring, emphasizing accountability and verification of AI output.
  • Build agentic AI security harnesses, prototypes, and POCs for new cyber capabilities.
  • Research AI Security, Agentic AI, Application Security, quantum/PQC, blockchain, and other emerging technologies.
  • Develop and integrate agents, LLMs, APIs, security tools, automation, and test environments.
  • Evaluate new cybersecurity products and startups through hands‑on testing, benchmarking, and technical due diligence.
  • Validate vendor claims and assess security, scalability, integration complexity, and enterprise applicability.
  • Help transition successful research prototypes toward operational use.
  • Present technical findings and recommendations to engineering, security leadership, and investment stakeholders.

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.