
Senior Professional Services Consultant, AI Security
Palo Alto Networks
full-time
Posted on:
Location Type: Remote
Location: Texas • United States
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Salary
💰 $140,000 - $192,500 per year
Job Level
Tech Stack
About the role
- 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.
- Proactively collaborate with 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
- 5+ 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 MLOps lifecycle.
- Proficiency in scripting and automation 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 and presentation skills, with the ability to explain complex technical concepts to diverse audiences.
- 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.
Benefits
- A description of our employee benefits may be found here
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
AI Model ScanningAI Red Teamingcybersecurity principlesAI/ML conceptsTensorFlowPyTorchMLOps lifecyclescriptingautomationOWASP Top 10
Soft skills
communication skillspresentation skillscollaborationproblem-solving
Certifications
cloud certificationscybersecurity certificationsAI/ML certifications