Global Solutions Architect – AI Security

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.