Prisma AIRS

AI Security & Prisma AIRS

Lead and execute customer-facing projects to deploy and operationalize the Prisma AIRS

suite, including AI Model Scanning and AI Red Teaming solutions.

Serve as a technical subject matter expert for customers and internal teams on securing

the AI/ML development and deployment lifecycle.

Help customers identify and address security risks associated with LLMs, ML models, AI

applications, and supporting infrastructure.

Design and implement security solutions to address emerging AI threats such as prompt

injection, model poisoning, data leakage, and related attack techniques.

Help customers establish practical security controls and best practices for securing AI/ML

environments.

Customer Consulting & Delivery

Work directly with customers to understand their technical requirements, AI/ML

architecture, security objectives, and business use cases.

Lead technical discovery sessions, architecture discussions, implementation activities, and

troubleshooting engagements.

Translate customer requirements into actionable technical solutions and implementation

plans.

Develop and deliver technical workshops, enablement sessions, best-practice guidance,

and recommendations.

Communicate complex AI security concepts clearly to both technical and non-technical

stakeholders.

Build strong relationships with customer engineering, security, cloud, and application

teams.

Cloud, Automation & Integration

Work with public cloud platforms including AWS, Azure, and GCP.

Support the integration of Prisma AIRS with customer AI/ML environments, applications,

APIs, and supporting infrastructure.

Use Python, Terraform, and other automation technologies to develop integrations,

automate deployments, and improve operational efficiency.

Troubleshoot complex technical issues involving AI security, cloud environments, runtime

infrastructure, and API integrations.

Work with modern infrastructure and application environments, including containerized

and cloud-native technologies where applicable.

Product & Engineering Collaboration

Collaborate closely with Palo Alto Networks Product Management and Engineering teams

to communicate customer feedback and field requirements.

Help identify product gaps, recurring customer challenges, and opportunities to improve

the customer experience.

Contribute to the development of reusable technical assets, delivery methodologies,

implementation templates, and best practices.

Documentation & Knowledge Sharing

Create and maintain technical documentation, implementation guides, best-practice

materials, and reusable delivery assets.

Develop content that can be leveraged across customer engagements to scale the Prisma

AIRS Professional Services practice.

Share technical knowledge and lessons learned with internal teams.

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.

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

effectively with cross-functional teams.

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.