In this role, you’ll build and run Affirms end-to‑end security review process for enterprise AI/LLM systems evaluating architecture, prioritizing AI-specific risks, and designing the controls and guardrails that let Affirms adopt AI safely, partnering across Security, Legal, Privacy, Compliance, IT, and Engineering to make it scalable and repeatableYou will lead and continuously improve Affirms enterprise AI security review process evaluating the architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features — and embed security requirements into the design phaseYou will threat model AI/LLM-based systems and their data flows for risks such as prompt injection, insecure output handling, excessive agency, tool-permission abuse, data poisoning, and sensitive-data exposure, and drive remediationYou will review source code, system prompts, agent configurations, and tool/permission manifests (e.G., MCP definitions), and help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launchYou will design and build security guardrails and tooling for AI systems permission boundaries, authn/authz for agentic tools and MCP servers, data-handling controls, logging/monitoring, and policy-as-code (Python, Ia C) — to enforce and automate AI securityYou will evaluate the AI capabilities of third‑party Saa S vendors (e.G., Notion, Slack, Google Workspace) as part of vendor and Saa S security reviews and drive risk‑based adoption decisionsYou will identify emerging classes of AI/agentic security vulnerabilities, develop mitigations before they become incidents, and contribute to AI‑specific incident response playbooks as a senior escalation pointYou will lead cross‑functional AI security initiatives to closure, advise technical and executive stakeholders as an internal point of expertise, and stay current on the AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to translate new research into practical controlsBenefits Compensation: We have a simple,



adaptable, and transparent remote‑first compensation structure so you can make the best decisions for yourself and your familySpending Wallets: Access tech, food, lifestyle, and family planning wallets for your expensesSupportive Communities: Get involved with our employee resource groups and community groupsRemote‑first Workforce: If your role is remote, you can set up shop anywhere in your home countryGenerous Time Off: Take the time you need when life happensHealth Benefits: Get a plan that fits your needsMental Healthcare: Take care of your mind with great mental health programsParental Leave: Birth and non‑birth parents get 18 weeks’ paid leave. Plus, a 4‑week return‑to‑work transition program, at full base payAway Days: We offer 20 company‑wide paid days off— which help our teams collectively pause to rechargeLearning & Development: Engage in exciting learning programs to level up your growthYou have built AI governance artifacts (acceptable use policy, data‑handling standards, vendor/model risk assessments) and evaluated AI capabilities within Saa S platforms (e.G., Notion AI, Slack AI, Google Workspace AI, Git Hub Copilot) as part of vendor reviews You can lead cross‑functional initiatives across Security, Engineering, Legal, Privacy, and Compliance and drive them to closure, and communicate effectively with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non‑human/agent identities is a plus You can build security tooling, guardrails, and detections with Python or similar, and deploy cloud services and policy‑as‑code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWSYou are a seasoned security engineer with hands‑on experience designing, evaluating, and maintaining security architecture for AI/LLM‑based systems, plus deep expertise in enterprise security systems, processes, and controls You understand how LLMs and agentic systems are built (RAG, embeddings, fine‑tuning, tool use) and authn/authz models (OAuth2, SAML, service‑

📌 Staff Security Engineer (Enterprise Ai) (Quebec City)
🏢 Affirm
📍 Quebec City