Cybersecurity Staff Engineer – AI Security

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🤠 Texas – Remote

🤠 Texas – Remote

💵 $140k - $190k / year

⏰ Full Time

🔴 Lead

🤖 AI Engineer

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The Home Depot

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1978

🏗️ Construction

📦 Logistics

🛒 Retail

💰 Debt Financing on 2007-07

Construction • Logistics • Retail

The Home Depot is a leading home improvement retailer, offering a wide range of building materials, home improvement products, lawn and garden products, and related services. The company operates both physical stores and an online platform, providing comprehensive solutions for DIY enthusiasts, professional contractors, and homeowners. The Home Depot is committed to diversity, equity, and inclusion, providing employment opportunities and benefits to a diverse workforce. Additionally, the company places a high emphasis on customer service and associate engagement to maintain its position as a trusted leader in the home improvement industry.

📋 Description

• 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

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