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Chrome Technologies

SECURITY ARCHITECT

Toronto, ON, Canada

Hybrid

Full-time

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Job details

Job type: Full-time
Workplace: Hybrid
Apply by: Nov 18, 2026
Posting language: English
Posted: Oct 19, 2026

Original job description

Référence

2290/TOR/1510

Date de démarrage

ASAP

Localisation du poste

Toronto (Hybrid)

Durée

Permanent

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.

Tâches

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 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

Exigences

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.

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More about this job

Responsibilities

Lead security reviews of enterprise, cloud, application, and AI-enabled architectures, and author architecture decision records, security patterns, and reference architectures. Define and assess GenAI and agentic security controls, lead threat modeling, develop security research prototypes, and advise teams and stakeholders on secure adoption of emerging technologies.

Requirements

The role calls for broad experience in enterprise security architecture across cloud, data, application, and API security, along with knowledge of GenAI architecture, LLM lifecycles, model governance, and AI security patterns. Strong analytical writing and familiarity with architecture frameworks and tools such as SABSA, TOGAF, NIST CSF, LangChain, OpenAI GPT, and Guardrails AI are also sought.

Skills

Enterprise Security Architecture
Generative AI Security
LLM Security
Agentic AI Security
Threat Modeling
Cloud Security
Application Security
Data Security
API Security
Security Architecture Reviews
Architecture Decision Records
Model Governance
Prompt Injection Defense
Data Leakage Prevention
Security Automation
Technical Due Diligence

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Security Architecture
SABSA
TOGAF
NIST CSF
Generative AI
Agentic AI
Large Language Models
LLM Lifecycle
Model Governance
Architecture Decision Records
Security Architecture Review Board
Threat Modeling
Prompt Injection
Data Leakage Prevention
Vertex AI
Azure OpenAI
LangChain
OpenAI GPT
Guardrails AI
Cloud Security
Application Security
Data Security
API Security
Retrieval-Augmented Generation
Multi-Agent Frameworks
Quantum Security
Post-Quantum Cryptography
Blockchain
Security Automation
Technical Due Diligence

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