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Staff Security Engineer, Enterprise AI

Affirm· Information Security
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Remote$220k - $280kfull-timePosted 1mo ago

About the role

Lead and operate Affirm's end-to-end security review process for enterprise AI/LLM systems, evaluating architecture, data flows, and controls; collaborate across Security, Legal, Privacy, Compliance, IT, and Engineering to enable safe AI adoption at scale.

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 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 (e.g., MCP definitions); 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/SaaS security reviews and 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, and stay current on AI security landscape (OWASP LLM Top 10, MITRE ATLAS) to 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.
  • Built AI governance artifacts (acceptable use policy, data-handling standards, vendor/model risk assessments) and evaluated AI capabilities within SaaS platforms (Notion AI, Slack AI, Google Workspace AI, GitHub Copilot) as part of vendor reviews.
  • 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, and 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/machine-to-machine access; strong architecture and threat-modeling fundamentals.
  • Ability to lead cross-functional initiatives across Security, Engineering, Legal, Privacy, and Compliance; effective communication with technical and executive audiences. Experience in regulated environments (SOC 2, PCI DSS) and applying IAM to non-human/agent identities is a plus.

Skills

Required:AI security threat modelingSecurity architecture for AI/LLM systemsCode/security review of AI systemsPolicy-as-code and IaCCloud and KubernetesOAuth2/SAML/non-human identities

Benefits

  • Health coverage at no cost: 100% of premiums for employees and their dependents
  • Spending stipends for tech setup and health/wellness options
  • Flexible time off and generous holiday calendar
  • Employee stock purchase plan (ESPP) participation with stock at a discount
Last updated Sep 30, 2026. Interested? Apply on the company site.

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