Artificial Intelligence Security Architect - Levio

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. 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

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.

Why Join Levio ?

• 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

Role and Responsibilities

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 mitigat