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Enterprise Security Architect

  • Toronto, ON, Canada

Contract

This opening has closed.

The original listing is kept below for reference.

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Job type
Contract
Closing date
Posting language
English
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Original job description

Archived listing. The details below describe a past opening.

Job Title : Enterprise Security Architect

Location : Canada (Toronto) - Day 1 onsite - all 5 days office

Type : Full Time

Exp : 3 to 8 years

Job Title: Security Architect – Architecture Review, GenAI & Governance

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.

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 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 securitydomains

More about this job

Responsibilities

Define and assess security controls for GenAI systems and autonomous agents, and evaluate the security of agent frameworks, LLM pipelines, and model-hosting platforms. Contribute to responsible AI policies and improve architecture review processes through GenAI-assisted document review, reusable prompts, and peer mentoring.

Requirements

The role calls for enterprise security architecture experience and knowledge of frameworks such as SABSA, TOGAF, and NIST CSF, along with expertise in GenAI architecture, LLM lifecycles, model governance, and AI security patterns. Candidates should have strong analytical writing skills and familiarity with architectural diagramming, review automation, and tools such as LangChain, OpenAI GPT, and Guardrails AI.

Skills

  • Enterprise Security Architecture
  • GenAI Security
  • Agentic Security
  • Security Architecture Review
  • AI Governance
  • Threat Modeling
  • Data Leakage Prevention
  • Cloud Security
  • Data Security
  • Application Security
  • API Security
  • Security Design
  • Architectural Decision Records
  • Analytical Writing
  • Security Automation
  • Human-AI Collaboration

Visa sponsorship

Not detected in the job text

Categories

  • Security & Safety
  • Technology
  • Consulting

Keywords

  • SABSA
  • TOGAF
  • NIST CSF
  • GenAI
  • Agentic Security
  • LLM Lifecycle
  • Model Governance
  • Threat Modeling
  • Prompt Injection Defense
  • Data Boundary Controls
  • Data Leakage Prevention
  • AI Guardrails
  • Human Oversight
  • Secure Orchestration
  • Vertex AI
  • Azure OpenAI
  • LangChain
  • OpenAI GPT
  • Guardrails AI
  • Architectural Decision Records
  • Security Architecture Review
  • Cloud Security
  • Data Security
  • Application Security
  • API Security
  • Responsible AI
  • Security Automation

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