Protect affirm’s enterprise AI systems remotely with threat modeling, security architecture, and guardrails for agentic tools and LLM applications.
As a Staff Security Engineer, you will run affirm’s end-to-end AI security review process. You will evaluate architectures, data flows, permissions, and designs while partnering with Security, Legal, Privacy, Compliance, IT, and Engineering. Your work will make AI adoption scalable and repeatable.
Key Responsibilities: Lead enterprise AI security reviews and embed requirements during design
Threat model prompt injection, data poisoning, and sensitive-data exposure
Review source code, prompts, configurations, and MCP manifests
Build guardrails for permissions, authentication, monitoring, and policy-as-code




Evaluate AI capabilities in third-party SaaS vendor reviews
Requirements: Hands-on AI/LLM security architecture experience
Experience securing agentic systems and MCP tool-calling frameworks
Python or similar, Infrastructure as Code, Terraform, and cloud services
Knowledge of RAG, embeddings, fine-tuning, and tool use
Experience leading cross-functional security initiatives to closure
Apply enterprise security architecture, threat modeling, Python, and AI guardrails to help affirm adopt AI safely.

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📌 Staff Enterprise AI Security Engineer (Manitoba)
🏢 Society for AI Security
📍 Manitoba