Staff AI Security Engineer

Related skills

aws python gcp go langchain

πŸ“‹ Description

  • Secure AI implementations with guardrails and gateways to protect agentic workflows.
  • Agent hardening and sandboxing to prevent tool-calling, prompt injection, and data exfiltration.
  • Define paved roads and security standards to enable safe AI features.
  • Threat modeling for AI workflows: lead security reviews for agentic AI systems and deployments.
  • AI discovery and visibility: build systems to discover and assess AI usage and data flows.
  • Technical leadership and mentorship across product, security, and infrastructure.

🎯 Requirements

  • AI Security Expertise: Deep knowledge of the AI threat landscape, including OWASP, MITRE ATLAS, NIST AI RMF with practical experience with prompt injection and AI threats.
  • Software Engineering: 8+ years in security engineering or backend software development with Python or Go and cloud experience.
  • Agentic Framework Knowledge: Experience securing or auditing LangChain, Strands, Claude Agent SDK, or tool-calling agents in sandboxed environments.
  • Architectural Expertise: Design scalable cloud infrastructure (AWS/GCP), API gateways, proxies, and access controls for enterprise systems.
  • Technical Leadership: Drive technical strategy and mentor engineers across domains.
  • Education: Bachelor's degree in Computer Science, Cybersecurity, Information Security, or equivalent.

🎁 Benefits

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