Palo Alto Networks

Professional Services Consultant, AI Security

Palo Alto Networks

full-time

Posted on:

Location Type: Remote

Location: Remote • Texas • 🇺🇸 United States

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Salary

💰 $140,000 - $192,500 per year

Job Level

SeniorLead

Tech Stack

AWSAzureCloudCyber SecurityGoogle Cloud PlatformPythonPyTorchTensorflowTerraform

About the role

  • Lead and execute customer-facing projects to deploy and operationalize the Prisma AIRS suite, including AI Model Scanning and AI Red Teaming solutions.
  • Act as the subject matter expert (SME) for customers and internal teams on securing the entire AI/ML development lifecycle.
  • Design and implement security solutions that protect against novel threats targeting Large Language Models (LLMs) and other ML systems, such as model poisoning, prompt injection, and data evasion.
  • Develop and deliver technical workshops, best practice guides, and strategic recommendations to help customers build a robust AI security posture.
  • Collaborate directly with our Product Management and Engineering teams, acting as a crucial conduit for field feedback to shape the future of our AI security products.
  • Create and maintain technical documentation, delivery templates, and reusable intellectual property to scale our practice globally.
  • Troubleshoot and solve complex technical challenges related to AI model security, runtime environments, and API integrations.

Requirements

  • 8+ years of experience in a customer-facing technical role such as Professional Services, Solutions Architecture, Consulting, or Technical Account Management.
  • Strong foundational knowledge of cybersecurity principles and public cloud platforms (AWS, Azure, GCP).
  • Hands-on experience with AI/ML concepts, frameworks (e.g., TensorFlow, PyTorch), and the ML operational lifecycle (MLOps).
  • A solid understanding of Large Language Models (LLMs) and the unique security challenges they present.
  • Proficiency in scripting and automation, particularly with Python and Terraform.
  • Proven experience in identifying and mitigating the OWASP Top 10 for LLM threats (e.g., Prompt Injection, Model Poisoning, Data Leakage).
  • Exceptional communication, presentation, and problem-solving skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Benefits
  • Employee benefits may be found here.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
AI Model ScanningAI Red Teamingcybersecurity principlesAI/ML conceptsMLOpsLarge Language ModelsscriptingautomationPythonTerraform
Soft skills
communicationpresentationproblem-solving