Enterprise Security Architect

Centraprise, Corp.; Toronto; On-site; CAD 120,000 - 170,000; Full time

Job summary

Centraprise, Corp. in Toronto, Canada is seeking an Enterprise Security Architect to lead GenAI and governance with a focus on architecture review and security patterns. The role requires designing controls, risk assessment, and policy contributions across cloud, data, application, and API security domains.

The candidate will work onsite from Day 1, collaborating with cross-functional teams to implement secure GenAI strategies and oversee the LLM lifecycle, model governance, and agent frameworks.

Qualifications

• 3–8 years of experience in enterprise security architecture.
• Strong knowledge of SABSA, TOGAF, and NIST CSF.
• Experience with GenAI systems architecture and LLM lifecycle governance.

Responsibilities

• Define and assess controls for GenAI systems, including model access and data boundaries.
• Establish guardrails for AI agents performing autonomous actions.
• Ensure secure orchestration, isolation, and human oversight mechanisms for AI workflows.
• Evaluate 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.
• Develop reusable prompts, review heuristics, and decision frameworks to improve SARB throughput and consistency.
• Mentor peers in human-AI collaboration and accountability of AI outputs.

Skills

GenAI architecture

Security architecture

Threat modeling

Tools

LangChain

OpenAI GPT

Guardrails AI

Job description

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.
• 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