Professional Services Consultant, AI Security
About The Position
Your Career In this role, you will be at the intersection of two of the most transformative technologies of our time: Artificial Intelligence and Cybersecurity. You will be a key expert in our brand-new AI Security services, built on the foundations of Prisma AIRS and the cutting-edge technology from our Protect AI acquisition. You will lead our customers through the complex but critical 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 in the real world. Your Impact 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).
- You should have experience with tools and techniques for testing LLM vulnerabilities.
- Exceptional communication, presentation, and problem-solving skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.
Nice To Haves
- 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.
Responsibilities
- 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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees
