Full-Time Professional Services Consultant, AI Security

In this role, you will be at the intersection of Artificial Intelligence and Cybersecurity. You will be a key expert in our brand-new AI Security services. You will lead our customers through the complex process of securing their AI and Machine Learning (ML) pipelines from development to runtime. This is a unique opportunity to become a foundational member of a team that is defining the best practices for AI Security.

• 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.
• 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.

• 8+ years of experience in a customer-facing technical role.
• 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).
• Understanding of Large Language Models (LLMs) and the unique security challenges they present.
• Proficiency in scripting and automation, particularly with Python and Terraform.
• Experience in identifying and mitigating the OWASP Top 10 for LLM threats.
• Exceptional communication, presentation, and problem-solving skills.

• 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).

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