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Staff Security Engineer, Enterprise AI

Affirm· Information Security
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Hybrid (Canada)CA$173k - CA$233kfull-timePosted 1mo ago

About the role

Security leadership role focusing on end-to-end security review and guardrails for enterprise AI/LLM systems at Affirm. Remote role in Canada (Alberta, British Columbia, Manitoba, New Brunswick, Newfoundland and Labrador, Nova Scotia, Ontario, Prince Edward Island, or Saskatchewan).

Responsibilities

  • Lead and continuously improve Affirm's enterprise AI security review process evaluating architecture, data flows, permissions, and design of internal AI tools, agentic/MCP-based systems, and AI features; embed security requirements into the design phase.
  • 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; drive remediation.
  • Review source code, system prompts, agent configurations, and tool/permission manifests; help tool owners build security-focused test cases and red-team/eval scenarios to verify requirements before launch.
  • 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, IaC).
  • Evaluate AI capabilities of third-party SaaS vendors (e.g., Notion, Slack, Google Workspace) as part of vendor and SaaS security reviews; drive risk-based adoption decisions.
  • Identify emerging AI/agentic security vulnerabilities; develop mitigations and contribute to AI-specific incident response playbooks as a senior escalation point.
  • Lead cross-functional AI security initiatives; advise technical and executive stakeholders; stay current on AI security landscape (OWASP LLM Top 10, MITRE ATLAS) and translate research into practical controls.

Qualifications

  • Seasoned security engineer with hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM-based systems; deep expertise in enterprise security systems, processes, and controls.
  • Practical experience threat modeling and reviewing AI/LLM applications (e.g., OWASP Top 10 for LLM Applications) and securing agentic systems and tool-calling frameworks — MCP servers/clients, tool-permission models, and agent-to-tool trust boundaries.
  • Experience building AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluating AI capabilities within SaaS platforms (Notion AI, Slack AI, Google Workspace AI, GitHub Copilot).
  • Experience with enterprise tools for AI visibility and control (e.g., CASB, IDP/Okta) and familiarity with corporate systems where AI is adopted (OpenAI, Anthropic, GitHub, Google Workspace, Slack, Notion, Jira).
  • Ability to build security tooling, guardrails, and detections with Python or similar; deploy cloud services and policy-as-code using Infrastructure as Code (Terraform or similar); familiarity with Kubernetes and AWS.
  • Understanding of LLMs and agentic systems (RAG, embeddings, fine-tuning, tool use) and authn/authz models (OAuth2, SAML, service-account/non-human identities) for agentic and machine-to-machine access.
  • Strong cross-functional leadership and communication skills; experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities (a plus).

Skills

Required:AI/LLM security design and threat modelingCode review and test design for AI toolsPolicy-as-code and IaCTool-calling frameworks and MCPSecurity tooling and guardrailsOAuth2/SAML and non-human identities
Nice to have:Cloud and container tech (Kubernetes, AWS)

Benefits

  • Health coverage at no cost for employees and dependents
  • Monthly stipends for tech setup and health/wellness options
  • Flexible time off and generous holidays
  • Employee stock purchase plan (ESPP)
  • Remote-first with occasional in-person onboarding and potential in-person requirements
Last updated Sep 30, 2026. Interested? Apply on the company site.

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