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Global Solutions Architect – AI Security
Palo Alto Networks. Serve as the leading expert on AI Security services .
Posted 11/3/2026full-timeRemote • California • United StatesMid-LevelSenior💰 $175,200 - $240,900 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in AI Security services, focusing on securing AI and ML pipelines while providing strategic recommendations and technical workshops. Proficient in developing security solutions against LLM threats and collaborating cross-functionally to enhance AI security products.
Highest-signal resume keywords
AI Security ExpertisePublic Cloud Platforms ArchitecturePython and Terraform ProficiencyAI/ML Concepts and MLOps LifecycleNetwork Security Concepts
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AI SecurityLarge Language ModelsAdversarial ML TechniquesModel Poisoning MitigationPrompt Injection DefenseData Evasion PreventionCloud NetworkingAutomationTechnical DocumentationStandardized Deployment Processes
Soft Skills
Exceptional Communication SkillsPresentation SkillsConsulting AcumenAnalytical SkillsTrusted-Advisor Capability
Tools & Technologies
AzureAWSGCPTensorFlowPyTorchDockerKubernetes
Industry Keywords
AI Security ServicesML PipelinesPrisma AIRS SuiteTechnical WorkshopsField Feedback
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformKubernetesPythonPyTorchTensorflowTerraform
About the role
Key responsibilities & impact- Serve as the leading expert on AI Security services
- Guide customers in securing AI and ML pipelines from development through runtime
- Lead customer-facing projects deploying and operationalizing the Prisma AIRS suite
- Establish standardized methodologies for securing AI and LLM technologies
- Design and implement security solutions against LLM threats such as model poisoning, prompt injection, and data evasion
- Develop and deliver technical workshops, best-practice guides, runbooks, training, and strategic recommendations
- Create and maintain technical documentation, delivery templates, and reusable intellectual property
- Collaborate with Product Management and Engineering to shape AI security products
- Provide field feedback to Product, GTM, and Engineering teams and support beta testing
- Serve as a trusted advisor and troubleshoot complex customer and product issues
- Develop standardized deployment processes to improve consistency and customer time-to-value
- Travel to Palo Alto Networks offices for workshops and potentially customer sites
Requirements
What you’ll need- BS in Computer Science or equivalent education/training/experience
- 5+ years of experience in a customer-facing technical role
- 3+ years of experience with public cloud platforms architecture and security solution development using Azure, AWS, and GCP
- Experience with cloud networking, LLM applications, and automation
- Hands-on experience with AI/ML concepts, TensorFlow, PyTorch, and the MLOps lifecycle
- Solid understanding of Large Language Models and AI application security challenges
- Experience in AI Security, adversarial ML techniques, AI red teaming, or securing ML pipelines is a significant differentiator
- Proficiency in Python and Terraform for scripting and automation
- Knowledge of Docker and Kubernetes is a key differentiator
- Strong background in network security concepts including routing, stateful inspection, encapsulation, SSL/TLS, IPSec, and decryption
- Exceptional communication and presentation skills
- Experience developing and delivering technical workshops and training sessions
- Strong consulting acumen and trusted-advisor capability
- Advanced troubleshooting and analytical skills
- Ability to create and maintain technical documentation, best-practice guides, runbooks, and delivery templates
- Ability to create reusable intellectual property
- Experience working cross-functionally with Product Management and Engineering
- Skill in gathering, synthesizing, and articulating field feedback
- Experience developing and implementing standardized deployment processes and methodologies
- Willingness to travel 30–40% to Palo Alto Networks offices and potentially customer sites
- No immigration sponsorship; applicants must not require work visa sponsorship
Benefits
Comp & perks- Restricted stock units may be included
- Bonus may be included
- Employee benefits are available (specific benefits not listed)