Global Solutions Architect – AI Security

paloaltonetworks; Stati Uniti; Remoto; USD 120.000 - 180.000; Tempo pieno

Descrizione del lavoro

Palo Alto Networks is seeking a seasoned professional to lead customer engagements focused on securing AI and machine learning systems from development through runtime. You will deploy AI security capabilities, advise on risks such as prompt injection and model poisoning, and help build repeatable delivery practices for a global security services team.

The role is remote across multiple locations with travel estimated at 30–40% for workshops and customer-site visits.

Competenze

• Bachelor’s degree in computer science or equivalent.
• Minimum five years of relevant experience.
• Strong customer advisory, troubleshooting, and analytical skills.
• Ability to create clear technical documentation and reusable materials.
• Experience working with cross-functional teams (customer, product, engineering).

Mansioni

• Lead customers in securing AI/ML pipelines, models and runtimes.
• Oversee deployments of AI model scanning and red-teaming capabilities.
• Design security approaches for prompt injection, model poisoning, and data evasion.
• Create reusable deployment methods, runbooks, workshops, and best practice guidance.
• Train and support field teams, consultants, and partners to ensure consistent outcomes.
• Give feedback to product/engineering and contribute to testing and improvements.

Conoscenze

Customer advisory

Troubleshooting

Analytical skills

Technical documentation

Cross-functional collaboration

Formazione

Bachelor's degree in Computer Science

Descrizione del lavoro

Role overview

Lead customer engagements to secure AI and machine learning systems from development through runtime. You’ll deploy and operationalize AI security capabilities, advise customers on risks such as prompt injection and model poisoning, and help build repeatable delivery practices for a global security services team.

Responsibilities

• Guide customers in protecting AI and machine learning pipelines, models, and runtime environments.
• Lead deployments of AI model scanning and AI red teaming capabilities, from planning through adoption.
• Design security approaches for threats including prompt injection, model poisoning, and data evasion.
• Create reusable deployment methods, technical documentation, runbooks, workshops, and best practice guidance.
• Train and support field teams, consultants, and partners so they can deliver consistent customer outcomes.
• Bring customer and field feedback to product and engineering teams, and contribute to product testing and improvement.

Requirements

• Bachelor’s degree in computer science or equivalent education, training, or experience.
• At least five years of relevant experience; the listing does not specify the full experience requirement.
• Strong customer advisory, troubleshooting, and analytical skills for complex AI security and integration challenges.
• Ability to create clear technical documentation and reusable delivery materials.
• Experience working across customer-facing, product, and engineering teams, and translating field feedback into actionable recommendations.

Benefits and work setup

• Remote role with collaboration across locations.
• Travel of approximately 30–40% for workshops, with possible customer-site visits.