Job Description:
• 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.
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