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 in Winnipeg employer: Society for AI Security
At Affirm, we pride ourselves on being a remote-first employer that values flexibility and inclusivity. Our commitment to employee well-being is reflected in our comprehensive benefits package, which includes 100% subsidized health coverage, generous time off, and monthly stipends for wellness and tech needs. With a strong focus on professional growth and a collaborative work culture, we empower our Staff Security Engineers to lead critical security initiatives while ensuring a secure environment for innovative AI solutions.
