Global Solutions Architect – AI Security

Compensation context

This range is the expected starting base salary for this non-sales role. Restricted stock units (RSUs) and a bonus may be added.

Our Mission

Palo Alto Networks® describes one shared goal: keeping digital life safe. The company says it works where new ideas meet real results, tackling practical problems with advanced tools and fresh thinking. It says every person is heard and every suggestion matters, and it invites people who want career-defining work next to equally committed colleagues to apply.

Who We Are

To stay the security partner customers pick first, the company says it has to lead the way and set the direction for the industry. Staff pursue that daily through five stated values (Integrity, Inclusion, Collaboration, Disruption, and Execution). AI is built into how the company operates and is used to boost what each person can achieve. People who enjoy hard, real-world problems and want to brainstorm alongside top talent are encouraged to join.

The posting states the position is remote and that being apart does not limit impact. Hybrid teams work together across regions to tackle large problems, stay near customers, and grow. The culture is described as built on trust, accountability, and shared wins, with work that genuinely counts.

Job Summary

The GSA (Global Solutions Architect) for AI Runtime Security is a deeply technical, customer-facing expert who drives adoption and day-to-day use of the Prisma AIRS platform. As the main specialist on securing the whole AI/ML development lifecycle, you guide customers through protecting AI pipelines from threats like data evasion, prompt injection, and model poisoning.

The role is central to building and growing the company's worldwide AI Security practice. Besides leading early strategic customer rollouts of Prisma AIRS (AI Red Teaming and AI Model Scanning among them), you create the standard methods, best practices, and reusable IP that let consultants and partners worldwide deliver consistently and well. You also channel field feedback straight to Product Management and Engineering to shape future AI security products.

Your Impact:

• Be the go-to specialist for newly launched AI Security services, helping customers protect ML and AI pipelines from build through runtime.
• Lead and deliver customer projects that roll out Prisma AIRS and put it into everyday use, directly supporting successful deployments and customer value.
• Turn early customer projects into standard methods that speed deployment and give a consistent way to secure new AI and LLM technology.
• Design and build security controls against LLM-focused threats like data evasion, prompt injection, and model poisoning.
• Create and run technical workshops, runbooks, best-practice guides, and strategic advice that help customers build strong AI security.
• Produce and maintain strong technical documentation, delivery templates, and reusable IP to grow the AI Security practice worldwide.
• Be a key channel for field feedback, working directly with Engineering and Product Management to shape future AI security products.
• Build and give technical workshops and best-practice training so global field teams get ready faster.
• Be a trusted adviser who applies strong troubleshooting and problem-solving to help both customers and internal product teams.
• Improve knowledge management by writing reusable technical documents and delivery templates, using AI tools where it helps.
• Help run a central feedback hub linking the field, Product, GTM, and Engineering to improve product development and support beta tests.
• Create and roll out standard deployment processes and methods so delivery is consistent and customers see value sooner.

Qualifications

• Computer Science BS, or comparable training, education, or experience
• 5+ years in a technical job facing customers (for example Technical Account Management, Consulting, Solutions Architecture, or Professional Services).
• 3+ years designing public cloud architecture and building security solutions (AWS, GCP, Azure), especially cloud networking, LLM applications, and automation.
• Hands-on with AI/ML concepts and frameworks (such as TensorFlow and PyTorch) and the MLOps lifecycle.
• Solid grasp of LLMs and the particular security problems AI applications bring.
• Direct AI Security experience, such as spotting LLM threats (for example Model Poisoning, Prompt Injection), adversarial ML, red teaming AI systems, or protecting ML pipelines, would set you apart
• Strong scripting and automation skills, especially Terraform and Python, used to design security solutions and build reusable IP.
• Knowing containers and orchestration (Docker, Kubernetes) is a major plus.
• Direct AI Security experience, for example adversarial ML, red teaming AI systems, or protecting ML pipelines, would set you apart.
• Strong network security grounding: decryption, IPSec, SSL/TLS, encapsulation, stateful inspection, routing
• Excellent communication and presenting, able to explain complex technical ideas to engineers and to non-technical CxO audiences.
• Has built and delivered technical workshops and training.
• Strong consulting skills and able to serve as a trusted adviser to customers.
• Strong troubleshooting and analysis for hard technical problems involving API integrations, runtime environments, and AI model security.
• Proven at writing and maintaining strong technical documentation such as runbooks, delivery templates, and best-practice guides.
• A habit of building reusable IP so the practice can grow.
• Has worked across functions with Product Management and Engineering.
• Able to gather, distill, and present field feedback in a way that shapes product roadmaps.
• Has built and rolled out standard deployment processes and methods so delivery is consistent and customers see value sooner.
• Travel of 30–40% to company offices for workshops, and possibly to customer sites to deploy solutions as set out in the statement of work

Compensation Disclosure

What is paid depends on the candidate's qualifications and experience and on where they work. If the offer is made at the advertised level, the range shown below is the expected starting base for non-sales jobs, or base plus commission target for commissioned sales jobs. Restricted stock units (RSUs) and a bonus may be added, and the posting links to a description of benefits.

Range: $175,200 to $240,900 a year

Our Commitment

The company calls itself a group of trailblazers who aim high, take chances, and push back on the usual way cybersecurity is done. It says diverse teams working together are essential to its mission.

The company offers reasonable accommodations to qualified people with disabilities. Anyone needing help or an accommodation because of a disability or special need can email accommodations@paloaltonetworks.com.

The company states it offers equal employment opportunity and values a diverse workplace. Every qualified applicant is considered without regard to race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, age, ancestry, national origin, marital status, family or medical care leave, genetic information, medical condition, political affiliation, protected veteran status, physical or mental disability, or any other characteristic the law protects.

Applicant information is kept private in line with EEO guidance.

Immigration sponsorship: not offered; the company will not sponsor work visas for this role.

Application process

Submit your application through NorthStar. Employer screening may follow after submission.