Global Solutions Architect – AI Security
About The Position
The Global Solutions Architect (GSA) for AI Runtime Security is a highly technical, customer-facing expert responsible for driving adoption and operationalization of the Prisma AIRS platform. The role guides customers in securing AI and machine-learning pipelines from development through runtime, addressing threats such as model poisoning, prompt injection, and data evasion. It leads strategic customer deployments of Prisma AIRS offerings, including AI Model Scanning and AI Red Teaming, and helps customers realize value from those solutions. The position also builds and scales the global AI Security practice by creating standardized methodologies, best practices, technical documentation, delivery templates, and reusable intellectual property. The GSA provides workshops and training for customers and global field teams, serves as a trusted advisor and troubleshooting resource, and conveys field feedback to Product Management and Engineering to inform product development and beta testing. The role is remote and involves 30–40% travel to Palo Alto Networks offices for workshops, with possible travel to customer sites for deployments.
Requirements
- Bachelor of Science in Computer Science or equivalent education, training, or experience.
- At least 5 years of experience in a customer-facing technical role such as Professional Services, Solutions Architecture, Consulting, or Technical Account Management.
- At least 3 years of experience with public cloud platform architecture and security solution development in Azure, AWS, and GCP, particularly cloud networking, LLM applications, and automation.
- Hands-on experience with AI/ML concepts, frameworks such as TensorFlow or PyTorch, and the MLOps lifecycle.
- Solid understanding of LLMs and the security challenges of AI applications.
- Proficiency in scripting and automation, particularly Python and Terraform.
- Strong background in network security concepts, including routing, stateful inspection, encapsulation, SSL/TLS, IPSec, and decryption.
- Exceptional communication and presentation skills, including explaining complex concepts to technical and non-technical audiences.
- Experience developing and delivering technical workshops and training sessions.
- Strong consulting skills and ability to act as a trusted customer advisor.
- Advanced troubleshooting and analytical skills for AI model security, runtime environments, and API integrations.
- Ability to create and maintain technical documentation, including best-practice guides, runbooks, and delivery templates.
- Ability to create reusable intellectual property and work cross-functionally with Product Management and Engineering.
- Skill in gathering and communicating field feedback to influence product roadmaps.
- Experience developing and implementing standardized deployment processes and methodologies.
- Able to travel 30–40% to Palo Alto Networks offices for workshops, with possible travel to customer sites for solution deployments.
Nice To Haves
- Direct AI Security experience, including identifying LLM threats, adversarial ML techniques, AI red teaming, or securing ML pipelines.
- Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
Responsibilities
- Serve as the leading expert on AI Security services and advise customers on securing AI and ML pipelines from development to runtime.
- Lead customer-facing projects to deploy and operationalize the Prisma AIRS suite, including AI Model Scanning and AI Red Teaming solutions.
- Establish standardized methodologies and deployment processes that improve consistency, deployment speed, and customer time-to-value.
- Design and implement security solutions that protect LLM applications from threats such as model poisoning, prompt injection, and data evasion.
- Develop and deliver technical workshops, best-practice guides, runbooks, training, and strategic recommendations for customers and global field teams.
- Create and maintain technical documentation, delivery templates, and reusable intellectual property to scale the AI Security practice globally.
- Collaborate with Product Management and Engineering to provide field feedback, influence product development, and support beta testing.
- Provide advanced troubleshooting and problem-solving support to customers and internal product teams.
- Improve knowledge management, leveraging AI tools where possible.
- Gather, synthesize, and articulate field feedback to Product, GTM, and Engineering teams.
Benefits
- Compensation may include restricted stock units and a bonus.
- Employee benefits are referenced in the posting, but specific benefits are not listed.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
