Artificial Intelligence Security Architect

Canada·Torontomid

OtherArtificial Intelligence

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Quick Summary

Overview

Are you looking to thrive in a stimulating work environment? Join Levio , a leader in digital transformation, and take your career to the next level.

Technical Tools

OtherArtificial Intelligence

Join Levio, a leader in digital transformation, and take your career to the next level. You will work alongside high-caliber professionals on ambitious, large-scale technology projects, directly embedded in our clients’ environments. At Levio, we value expertise, curiosity, and continuous improvement — and we give you the space to grow. 

About the Role

~1 min read

We are seeking Artificial Intelligence Security Architect to contribute to major projects.

The Artificial Intelligence Security Architect is responsible for defining the security architecture, governance, and risk management frameworks for AI and machine learning systems across the organization. This senior role ensures AI technologies are designed, deployed, and operated securely, ethically, and in compliance with regulatory requirements. The architect works closely with AI engineering teams, cloud architects, GRC leaders, and executive stakeholders to embed security and trust into AI-driven solutions. The role will be remote.

What We Offer

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✓Work on complex, high impact digital transformation projects

✓Collaborate with experienced, multidisciplinary teams

✓Continuously develop your technical and professional expertise

✓Enjoy flexibility, autonomy, and a strong people first culture

✓Be part of an organization that values diversity, inclusion, and innovation

Responsibilities

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AI Security Architecture & Strategy

→Define enterprise AI security architecture and guardrails.

→Establish secure reference architectures for AI platforms, models, and data pipelines.

→Design controls to mitigate AI-specific threats (model abuse, data poisoning, adversarial attacks).

→Align AI security strategy with Zero Trust and defense-in-depth principles.

AI Governance, Risk & Compliance

→Architect AI governance frameworks aligned with NIST AI RMF, ISO standards, and regulatory requirements.

→Define AI risk classification, impact assessment, and control baselines.

→Support AI auditability, explainability, transparency, and accountability.

Secure MLOps & Cloud AI

→Architect secure MLOps pipelines with integrated security controls.

→Define access, identity, secrets management, and logging for AI platforms.

→Ensure secure use of third-party and open-source AI models.

Data Security & Privacy for AI

→Define data protection architecture for AI datasets and outputs.

→Ensure compliance with privacy laws (GDPR, Law 25, PIPEDA).

→Architect anonymization, encryption, and data governance mechanisms.

Advisory & Leadership

→Act as senior advisor on AI security and trust.

→Mentor analysts and guide AI engineering teams.

→Communicate AI risks and mitigation strategies to executives and boards.

Requirements

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Deep understanding of AI/ML architectures and lifecycle.

Strong knowledge of AI security threats and mitigations.

Expertise in cloud AI platforms and secure cloud architecture.

Strong background in cybersecurity architecture and risk management.

Familiarity with AI governance and ethical AI frameworks
CISSP, ISO 27001 Lead Implementer, NIST AI RMF Practitioner, CCSP (Cloud Security), AI governance or ethics certifications (an asset)