Staff Engineer, AI Security

Join a Challenger At EQ, we're remaking banking so every Canadian gets ahead, every day. Serving nearly 4 million Canadians from coast to coast, we offer a wide variety of financial services from banking and lending, to trust and credit union solutions. We've been at this since 1970, challenging the conventions of traditional banking with smarter, faster, and more connected financial experiences. What's kept us moving? The people behind it all: challengers who ask better questions, push back on old assumptions, and look for a better way forward. If you're driven to help reshape how banking works for Canadians and the businesses that power our economy, this could be your next big opportunity. We can’t wait to get to know you! The Work This role leads the design, implementation, and operation of security controls for Artificial Intelligence (AI), generative AI, machine learning, AI agents, copilots, automation platforms, agentic AI platforms, orchestration frameworks, model providers, and the cloud services that support them. Reporting to the Senior Director, Cyber Security Engineering & Operations and working as a fully dedicated, embedded security partner to the AI Centre of Enablement and the Enterprise Technology, Data & AI organization, the incumbent provides senior technical leadership to ensure AI solutions are delivered securely and in line with enterprise security standards and regulatory expectations. The incumbent develops reusable security patterns, guardrails, control implementations, automation, and detection capabilities that support enterprise AI adoption while protecting the bank from data leakage, model misuse, insecure integrations, excessive permissions, unsafe automation, and unapproved use of AI technologies. The role enables teams through practical, reusable guardrails and secure patterns rather than relying only on review and enforcement. This is a senior individual contributor role with no direct reports. The Core Responsibilities! Design, implement, and operate security controls for AI platforms, generative AI solutions, AI agents, machine learning environments, and supporting cloud services. Partner with the AI Centre of Enablement, AI Engineering, Data Engineering, and Technology teams to embed security requirements into AI solutions across the delivery lifecycle. Build and automate AI security guardrails and policy enforcement across approved and emerging AI technologies, including enterprise copilots, AI coding assistants, model platforms, orchestration frameworks, agentic AI platforms, and third-party AI services. Support security assessment and enablement for platforms and frameworks such as Microsoft 365 Copilot, Copilot Studio, GitHub Copilot, Azure AI services, Enterprise Gemini, Cursor AI, OpenAI, Anthropic, LangChain, LangGraph, LangFuse, and future enterprise-approved AI technologies. Implement data protection controls for AI training, grounding, and inference in partnership with Data Governance and Privacy teams. Configure and maintain identity, access, and model access controls for AI platforms, APIs, agents, and integrations. Develop and maintain security standards, implementation patterns, and technical guidance for the secure adoption of AI technologies. Review solution designs and provide practical security guidance to address risks, control gaps, and regulatory requirements. Work as a collaborative security partner across Cyber, Architecture, Data, Engineering, AI Engineering, and business teams to enable secure delivery with minimal unnecessary friction. Perform and support adversarial testing of AI solutions, and work with engineering teams to prioritize and remediate security weaknesses. Develop security monitoring requirements and detection capabilities for AI-related security events, misuse, and unapproved AI usage. Assess security risk in the AI supply chain, including models, plug-ins, agents, and third-party AI services. Support governance, compliance, audit, and risk ma…

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