Palo Alto Networks

Senior Professional Services Consultant, AI Security

Palo Alto Networks

full-time

Posted on:

Location Type: Remote

Location: TexasUnited States

Visit company website

Explore more

AI Apply
Apply

Salary

💰 $140,000 - $192,500 per year

Job Level

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.
  • Develop and deliver technical workshops, best practice guides, and strategic recommendations to help customers build a robust AI security posture.
  • Proactively collaborate with 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

  • 5+ 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 MLOps lifecycle.
  • Proficiency in scripting and automation 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 and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
  • Direct experience in AI Security, including adversarial ML techniques, AI red teaming, or securing ML pipelines.
  • Prior experience with Palo Alto Networks products, especially Prisma Cloud or NGFW.
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes).
  • Relevant industry certifications in cloud, cybersecurity, or AI/ML.
Benefits
  • A description of our 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 conceptsTensorFlowPyTorchMLOps lifecyclescriptingautomationOWASP Top 10
Soft skills
communication skillspresentation skillscollaborationproblem-solving
Certifications
cloud certificationscybersecurity certificationsAI/ML certifications