Enterprise Security Architect- Gen AI, Systems

Enterprise Security Architect‑ Gen AI, Systems Location: Toronto

Required Skills AI & Gen AI – Products & Tools

Responsibilities

Architecture Review Advisory – lead security reviews of solution and domain architectures, Architecture Decision Records (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 – 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 human and GenAI‑assisted analysis workflows.

GenAI Agentic Security

Define and assess controls for GenAI systems – 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 – 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.

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 assistance

Seniority level Mid‑Senior level

Employment type Full‑time

Job function Information Technology

Industries IT Services and IT Consulting

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