Global Solutions Architect – AI Security

This is a fully remote position, open to applicants in California.

📋 Description

• Act as the foremost authority on AI Security services.

• Assist clients in securing AI and ML pipelines from the development phase to runtime.

• Lead projects that involve customer interaction for deploying and operationalizing the Prisma AIRS suite.

• Develop standardized methodologies for the security of AI and LLM technologies.

• Design and implement security solutions to combat LLM threats such as model poisoning, prompt injection, and data evasion.

• Create and deliver technical workshops, best-practice guides, runbooks, training sessions, and strategic recommendations.

• Generate and maintain technical documentation, delivery templates, and reusable intellectual property.

• Collaborate with Product Management and Engineering teams to influence AI security product development.

• Provide field insights to Product, GTM, and Engineering teams and assist with beta testing.

• Act as a trusted advisor, addressing complex customer and product issues.

• Establish standardized deployment processes to enhance consistency and reduce customer time-to-value.

• Travel to Palo Alto Networks offices for workshops and possibly customer locations.

⛳️ Requirements

• Bachelor’s degree in Computer Science or equivalent education, training, or experience.

• Over 5 years of experience in a customer-facing technical position.

• More than 3 years of experience in public cloud architecture and security solution development utilizing Azure, AWS, and GCP.

• Familiarity with cloud networking, LLM applications, and automation.

• Practical experience with AI/ML concepts, TensorFlow, PyTorch, and the MLOps lifecycle.

• Strong understanding of Large Language Models and the security challenges associated with AI applications.

• Experience in AI Security, adversarial ML techniques, AI red teaming, or securing ML pipelines is a notable advantage.

• Proficiency in Python and Terraform for scripting and automation purposes.

• Knowledge of Docker and Kubernetes is a significant differentiator.

• Strong foundation in network security concepts, including routing, stateful inspection, encapsulation, SSL/TLS, IPSec, and decryption.

• Excellent communication and presentation abilities.

• Experience in developing and conducting technical workshops and training sessions.

• Strong consulting skills and the ability to serve as a trusted advisor.

• Advanced troubleshooting and analytical capabilities.

• Competence in creating and maintaining technical documentation, best-practice guides, runbooks, and delivery templates.

• Ability to develop reusable intellectual property.

• Experience in cross-functional collaboration with Product Management and Engineering teams.

• Skill in gathering, synthesizing, and conveying field feedback.

• Experience in developing and implementing standardized deployment processes and methodologies.

• Willingness to travel 30–40% to Palo Alto Networks offices and possibly customer sites.

• No immigration sponsorship; applicants must not require work visa sponsorship.

🏝️ Benefits

• Restricted stock units may be included.

• Bonus may be included.

• Employee benefits are available (specific benefits not listed).