Enterprise Security Architect- Gen AI, Systems

Toronto - Canada

Monthly Salary: Not Disclosed

Experience Required: 5years

Posted on: Yesterday

Vacancies: 1 Vacancy

Job Summary

Location : Toronto

Required Skills: AI & Gen AI - Products & Tools

Job Description : Security Architect 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.

Roles 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 architecturesincluding 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 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 Leadership-Provide domain expertise in application cloud and data securityaugmented 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.-Core Competencies Enterprise security architecture (SABSA TOGAF NIST CSF).

-GenAI systems architecture LLM lifecycle and model security patterns (threat modeling for LLMs data leakage prevention agent control).-Strong authorship and analytical writingclear articulation of decisions and consequences.

-Familiarity with tools for architectural diagramming review automation and GenAI-assi