Cybersecurity Staff Engineer – AI Security

Posted 6hrs ago

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Job Description

Cybersecurity Staff Engineer securing The Home Depot's AI gateway, agents, and MCP traffic. Deploying Prisma AIRS, Google Model Armor, and DLP protections.

Responsibilities:

  • Own runtime protection for The Home Depot's agentic and AI traffic
  • Deploy the AI gateway with Prisma AIRS AI Runtime Security API on top of it
  • Tune policies by agent persona
  • Extend protection to agents that cannot route through the gateway
  • Advise teams on configuring Prisma AIRS DLP policies to detect and stop exfiltration of sensitive data
  • Deploy Google Model Armor and DLP for the Gemini Enterprise Agent Platform
  • Integrate Prisma AIRS with Koi AES to cover endpoint agents and MCPs
  • Define and document processes for embedding Prisma AIRS AI Runtime Security API in agents that cannot pass through the gateway
  • Deploy tools and policies addressing OWASP Top 10 risks for LLM and agentic applications
  • Troubleshoot at the application level
  • Document architectures, policies and runbooks
  • Lead technical triage on production incidents and support root-cause analysis
  • Report typically to a Manager or Senior Manager
  • Manage 0 direct reports

Requirements:

  • Must be eighteen years of age or older
  • Must be legally permitted to work in the United States
  • 8+ years of hands-on experience in network security and application security, including engineering and administering gateways, proxies, firewalls or comparable enforcement platforms at enterprise scale
  • Understanding of the agentic lifecycle, including how agents are built, how they call models, tools and MCP servers, and where runtime controls belong
  • Experience with CI/CD pipelines and release processes, including deploying new security products and policies safely into production
  • Experience deploying tools and policies to address the OWASP Top 10 for web, LLM and agentic applications
  • Working knowledge of Google Cloud, including supporting AI workloads and applying controls such as Model Armor and Security Command Center DLP
  • Experience integrating security controls using APIs, SDKs or agent frameworks such as ADK, and designing fallback patterns for traffic that cannot be proxied
  • Experience advising on the configuration of endpoint or DLP policies to detect and block exfiltration of PII, payment card data and other sensitive data
  • Experience troubleshooting at the application level, including leading technical triage on production incidents and supporting root-cause analysis
  • Experience working across multiple teams, with strong written and verbal communication skills
  • Strong documentation skills, including architectures, policies and runbooks
  • Ability to leverage AI tools for scripting, troubleshooting, documentation and operational efficiency while maintaining appropriate data protection and accuracy
  • Preferred experience with Prisma AIRS, AI gateways, Google Model Armor or Koi
  • Preferred previous experience leading, coaching or mentoring team members
  • Bachelor's degree or equivalent degree in a field related to the job

Benefits:

  • Remote/Virtual work arrangement
  • No travel required