Cybersecurity Staff Engineer – AI Security

This is a fully remote position, open to applicants in Texas.

📋 Description

• Take charge of runtime protection for The Home Depot's agentic and AI traffic.

• Implement the AI gateway utilizing the Prisma AIRS AI Runtime Security API.

• Adjust policies based on agent persona.

• Expand protection to agents unable to route through the gateway.

• Provide guidance to teams on configuring Prisma AIRS DLP policies to identify and prevent the exfiltration of sensitive data.

• Launch Google Model Armor and DLP for the Gemini Enterprise Agent Platform.

• Integrate Prisma AIRS with Koi AES to encompass endpoint agents and MCPs.

• Establish and document processes for incorporating the Prisma AIRS AI Runtime Security API in agents that do not pass through the gateway.

• Deploy tools and policies to mitigate OWASP Top 10 risks associated with LLM and agentic applications.

• Troubleshoot issues at the application level.

• Document architectures, policies, and runbooks.

• Lead technical triage for production incidents and support root-cause analysis.

• Typically report to a Manager or Senior Manager.

• Manage no direct reports.

⛳️ Requirements

• Must be at least eighteen years of age.

• Must have legal authorization to work in the United States.

• A minimum of 8 years of practical experience in network security and application security, including the engineering and administration of gateways, proxies, firewalls, or similar enforcement platforms at an enterprise scale.

• Knowledge of the agentic lifecycle, including the construction of agents, their model call processes, tools, MCP servers, and where runtime controls are applicable.

• Familiarity with CI/CD pipelines and release procedures, including the safe deployment of new security products and policies in production.

• Experience in deploying tools and policies to address the OWASP Top 10 for web, LLM, and agentic applications.

• Proficient understanding of Google Cloud, including supporting AI workloads and implementing controls such as Model Armor and Security Command Center DLP.

• Experience in integrating security controls using APIs, SDKs, or agent frameworks like ADK, and designing fallback strategies for traffic that cannot be proxied.

• Proven experience in advising on the configuration of endpoint or DLP policies to detect and prevent the exfiltration of PII, payment card data, and other sensitive information.

• Skilled in troubleshooting at the application level, including leading technical triage for production incidents and assisting with root-cause analysis.

• Experience collaborating across multiple teams, with strong written and verbal communication skills.

• Excellent documentation abilities, covering architectures, policies, and runbooks.

• Capability to utilize AI tools for scripting, troubleshooting, documentation, and improving operational efficiency while ensuring data protection and accuracy.

• Preferred experience with Prisma AIRS, AI gateways, Google Model Armor, or Koi.

• Preferred prior experience in leading, coaching, or mentoring team members.

• Bachelor's degree or an equivalent qualification in a related field.

🏝️ Benefits

• Remote/Virtual work arrangement.

• No travel required.