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Compunnel Inc.

Enterprise Security Architect -- SINDC5938519

Toronto, ON, Canada

Job type: Contract
Apply by: Oct 28, 2026
Experience: 7+ years of experience in architecture or security design, including AI-related systems.
Posting language: English
Posted: Sep 28, 2026

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Applications open in a new tab.

Original job description

Role: Enterprise Security Architect

Location: Toronto, ON (Weekly 5 days onsite)

Duration: Long Term Contract

Job Description:

The Security Architect will be part of a team who’s role is 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.

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 defences.
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.

Core Competencies

Enterprise security architecture (SABSA, TOGAF, NIST CSF).
GenAI systems architecture, LLM lifecycle, and model governance.
AI security patterns (threat modelling 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.

Qualifications

Bachelor’s or master’s in computer science, Cybersecurity, or related field.
7+ years of experience in architecture or security design, including AI-related systems.
Desirable certifications: 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.

Success Measures

Secure-by-design adoption of GenAI and agentic capabilities across business domains.
Clear, complete, and AI-assisted ADRs produced and reviewed efficiently.
Reduced residual security risk in AI and non-AI solutions through proactive architectural engagement.
Recognition as a thought leader in secure GenAI architecture and governance

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More about this job

Responsibilities

Lead security reviews of enterprise architectures, ADRs, and AI-enabled solutions, providing actionable recommendations aligned with enterprise standards and risk expectations. Define and assess GenAI and agentic security controls, author architecture patterns and governance documentation, and support teams in securely adopting AI systems.

Requirements

Requires a bachelor’s or master’s degree in computer science, cybersecurity, or a related field, plus 7 or more years of architecture or security design experience, including AI-related systems. Candidates should bring enterprise security architecture expertise, broad cloud, data, application, and API security experience, and demonstrable experience securing GenAI or autonomous agents; certifications such as CISSP, CCSP, SABSA, or TOGAF are desirable.

Skills

Enterprise Security Architecture
Generative AI Security
Agentic Systems Security
Architecture Decision Records
Security Architecture Reviews
Threat Modeling
Cloud Security
Data Security
Application Security
API Security
Model Governance
Prompt Injection Defense
Data Leakage Prevention
Secure AI Orchestration
Technical Writing
SABSA

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Security Architecture
Generative AI
Agentic Systems
Architecture Decision Records
Security Architecture Review Board
SABSA
TOGAF
NIST Cybersecurity Framework
LLM Lifecycle
Model Governance
Threat Modeling
Prompt Injection
Data Leakage Prevention
RAG Systems
AI Copilots
Multi-Agent Frameworks
Vertex AI
Azure OpenAI
LangChain
OpenAI GPT
Guardrails AI
CISSP
CCSP
NIST AI Risk Management Framework
Azure AI Engineer
Cloud Security
Data Security
Application Security
API Security
Responsible AI

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