Senior Principal Architect, Cyber Security – AI

**This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Principal Architect, Cyber Security – AI based in Canada.** This role offers the opportunity to define and advance security strategies for emerging AI technologies within a complex enterprise environment. You will serve as a senior security architecture advisor, ensuring AI platforms, models, data pipelines, and applications are secure by design. The position combines strategic leadership with deep technical expertise across AI security, cloud platforms, data protection, and cyber risk management. You will collaborate with engineering, AI/ML, privacy, legal, compliance, and security teams to establish practical safeguards for AI innovation. Your work will directly influence AI governance, security standards, threat management practices, and enterprise technology resilience. This is an impactful opportunity for a cybersecurity leader passionate about responsible AI adoption and building secure digital ecosystems. You will help shape the future of AI security by creating scalable frameworks, controls, and best practices across the organization. ### Accountabilities The Senior Principal Architect, Cyber Security – AI will provide enterprise-level security architecture leadership for AI initiatives, ensuring emerging technologies are deployed securely and aligned with business objectives, regulatory expectations, and cybersecurity strategies. Key responsibilities include: - Define and maintain AI security principles, standards, guardrails, reference architectures, and secure-by-design patterns across the AI lifecycle. - Provide strategic and technical guidance for AI platforms, machine learning environments, generative AI solutions, large language models, and AI-enabled applications. - Advise on secure architectures for MLOps pipelines, data platforms, model registries, vector databases, retrieval-augmented generation (RAG) solutions, APIs, AI agents, and cloud-based AI services. - Conduct AI-focused security assessments, threat modelling exercises, architecture reviews, and control gap analyses. - Identify and help mitigate AI-specific risks, including prompt injection, data leakage, model extraction, model inversion, training data poisoning, insecure outputs, excessive AI agent permissions, and supply chain vulnerabilities. - Design and support security controls related to identity and access management, privileged access, encryption, secrets management, network security, APIs, logging, monitoring, resilience, and incident response. - Partner with engineering, data science, platform, and cybersecurity teams to integrate security practices into AI development, CI/CD pipelines, deployment processes, and operational monitoring. - Establish security requirements for AI data handling, including data minimization, anonymization, access controls, retention, lineage, provenance, and protection of sensitive information. - Evaluate security risks associated with third-party AI platforms, SaaS AI tools, foundation models, open-source models, APIs, datasets, plugins, and AI marketplaces. - Support AI vendor assessments, procurement reviews, onboarding processes, and ongoing supplier security assurance. - Collaborate with security operations teams to define AI-specific monitoring, detection, investigation, and incident response capabilities. - Monitor emerging AI security threats, attack techniques, industry standards, and regulatory developments, translating them into actionable internal guidance. - Promote AI security awareness through workshops, documentation, reusable security patterns, and collaboration with technology teams. - Support cybersecurity leadership with AI security strategy, governance activities, reporting, and continuous improvement initiatives. ## **Requirements** The ideal candidate is a cybersecurity architecture leader with strong experience securing complex technology environments…