SECURITY ARCHITECT Toronto (Hybrid) 2026-10-15

Chrome Technologies; Toronto; Hybrid; CAD 120,000 - 210,000; Full time

Job summary

Chrome Technologies is seeking a Security Architect to join our consulting team on a permanent basis. This hybrid role involves leading security reviews, governance, and GenAI-focused architecture work across client engagements. You will collaborate with enterprise teams to embed AI security patterns and drive secure design.

You will mentor peers, define controls for AI systems, and contribute to policy and decision-making around responsible AI use.

Qualifications

• Strong background in enterprise security architecture and governance.
• Experience designing GenAI-based solutions with secure by design principles.
• Ability to craft ADRs, reference architectures and patterns.

Responsibilities

• Lead security reviews of solution and domain architectures, ADRs and AI platforms.
• Assess GenAI designs for model security and data protection.
• Define controls for GenAI systems, including access and prompt defenses.
• Provide technical leadership and mentor teams in AI security design.
• Develop reusable prompts, review heuristics and automation for SARB.
• Present findings and recommendations to engineering, security leadership and stakeholders.

Skills

GenAI architecture

Security architecture

Enterprise security

Threat modeling

AI governance

Tools

LangChain

OpenAI GPT

Guardrails AI

Job description

We are looking for a Security Architect to join our consulting team on a permanent basis.

This is a hybrid position.

As a Chrome Technologies consultant, the successful candidate will work with our clients to deliver the projects they have entrusted to us.

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 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 & 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.
• Build agentic AI security harnesses, prototypes, and POCs for new cyber capabilities.
• Research AI Security, Agentic AI, Application Security, quantum/PQC, blockchain, and other emerging technologies.
• Develop and integrate agents, LLMs, APIs, security tools, automation, and test environments.
• Evaluate new cybersecurity products and startups through hands-on testing, benchmarking, and technical due diligence.
• Validate vendor claims and assess security, scalability, integration complexity, and enterprise applicability.
• Help transition successful research prototypes toward operational use.
• Present technical findings and recommendations to engineering, security leadership, and investment stakeholders.

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.