We're looking for an AI Security Operations Engineer to support secure operation and monitoring of enterprise AI platforms, with a strong focus on Palo Alto Prisma AIRS. You'll partner with security, cloud, and engineering teams to enable safe, scalable AI adoption. This is a 6-12 month contract with possible extension.
Key Highlights
Key Responsibilities
Technical Skills Required
Nice to Have
Job Description
Job Title: AI Security Operations Engineer
Job Location: 100% REMOTE
Project Duration: 6-12 months with possible extension
(Troubleshooting & Tuning experience and Prisma AIRS or Glean exp)
(W2 Position)
Job Summary:
We’re looking for an AI Security Operations Engineer to support secure operation and monitoring of enterprise AI platforms, with a strong focus on Palo Alto Prisma AIRS.
You’ll partner with security, cloud, and engineering teams to enable safe, scalable AI adoption.
What you’ll do:
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• Onboard and secure AI platforms & AI-enabled SaaS into Prisma AIRS or Glean
• Configure, tune, and monitor AI security policies (reduce false positives)
• Identify and remediate AI runtime risks across AWS/GCP
• Support tools like Microsoft Copilot, TrueFoundry, n8n, Glean
• Track remediation, metrics, and AI security posture
• Assist with AI-related security incidents and runbooks
Must-haves:
• 5+ years in security/cloud/platform operations
• 2+ years supporting AI platforms or AI-enabled SaaS
• AWS or GCP security operations experience
• Strong troubleshooting & tuning skills
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• Scripting/automation (Python, PowerShell, Bash)
• Strong collaboration across cross-functional teams
Preferred Qualifications/ Nice to have::
• Experience operating AI security or runtime monitoring platforms such as Palo Alto Prisma AIRS or similar tools.
Hands-on experience with one or more of the following:
• Microsoft Copilot (M365, Copilot Studio)
• TrueFoundry or similar ML/LLM orchestration platforms
• n8n or other automation/workflow platforms
• Glean or enterprise AI search solutions
• AI services in AWS (e.g., Bedrock-based workloads) or GCP (e.g., Vertex AI)
• Familiarity with AI/LLM security risks such as prompt injection, data leakage, over-privileged agents, and unintended automation.
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