Affirm
Staff Security Engineer, Enterprise AI
Remote Canada +1 · Remote · Staff · Full-time · Posted Sep 15, 2026
- Location
- Remote Canada
Remote US
About the job
Leads Affirm’s enterprise AI security reviews and builds scalable controls and guardrails to support safe adoption of AI and LLM systems.
What you'll do
- Assess AI system architecture, data flows, permissions, and risks; threat model systems and drive remediation.
- Build security guardrails, tooling, and testing practices for AI systems, including agentic tools and MCP servers.
- Evaluate AI-enabled SaaS vendors, lead cross-functional AI security initiatives, and contribute to AI incident response.
What they ask for
- Hands-on experience designing, evaluating, and maintaining security architecture for AI/LLM systems, with enterprise security expertise.
- Practical experience threat modeling AI applications and securing agentic systems, MCP servers/clients, and tool-permission models.
- Experience building AI governance artifacts and evaluating AI capabilities in SaaS vendor reviews.
- Ability to build security tooling with Python or similar and deploy cloud services and policy-as-code using Infrastructure as Code or similar.
Nice to have
- Familiarity with Kubernetes and AWS.
- Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities.
Pay
$173,000 - $233,000 CAD base salary per year
Tools
Python, Terraform, Kubernetes, AWS, MCP, OAuth2, SAML, OpenAI
AI focus
Enterprise AI/LLM security reviews, threat modeling, guardrails, governance, vendor assessments, and AI-specific incident response.
Model-written summary · the original posting is authoritative