Prisma Airs

Required Qualifications & Experience

• 6+ years of experience in a customer-facing technical role such as Professional Services,

Solutions Architecture, Consulting, Technical Account Management, or a related field.

• Strong foundational knowledge of cybersecurity principles and public cloud platforms,

including AWS, Azure, and/or GCP.

• Hands-on understanding of AI/ML concepts and the ML operational lifecycle (MLOps).
• Strong understanding of Large Language Models (LLMs) and their security challenges.
• Familiarity with AI/LLM security threats and techniques for identifying and mitigating

vulnerabilities, including areas such as prompt injection, model poisoning, and data

leakage.

• Hands-on experience with Python and Terraform or similar scripting and Infrastructure as

Code technologies.

• Ability to troubleshoot complex technical issues involving AI/ML environments, cloud

infrastructure, APIs, and application integrations.

• Strong consulting, communication, presentation, and problem-solving skills.
• Ability to explain complex technical concepts clearly to both technical and non-technical

audiences.

Preferred Qualifications

• Direct experience in AI Security, including adversarial ML, AI red teaming, securing ML

pipelines, or LLM security.

• Experience with Palo Alto Networks products, particularly Prisma AIRS, NGFW, and Strata

Cloud Manager.

• Experience with Docker, Kubernetes, or other containerization and orchestration

technologies.

• Experience with REST APIs and integrating security solutions with enterprise applications.

• Familiarity with AI security frameworks and standards such as the OWASP Top 10 for LLM

Applications.

• Relevant certifications in cloud, cybersecurity, AI/ML, or related technical disciplines.

• Proven ability to work independently in customer-facing engagements and collaborate

effectively with cross-functional teams.