Global Solutions Architect – AI Security

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

Job Summary

The Global Solutions Architect (GSA) for AI Runtime Security is a highly technical, customer-facing expert responsible for driving the successful adoption and operationalization of our groundbreaking Prisma AIRS platform. As the key subject matter expert on securing the entire AI/ML development lifecycle, you will lead customers through the complex process of protecting their AI pipelines from threats like model poisoning, prompt injection, and data evasion.

This role is pivotal in building and scaling our global AI Security practice. You will not only lead the initial, strategic customer deployments of the Prisma AIRS suite, including AI Model Scanning and AI Red Teaming solutions, but you will also be responsible for creating the standardized methodologies, best practices, and reusable intellectual property that will enable our worldwide consultants and partners to deliver with consistency and excellence. You will act as a critical conduit for field feedback, collaborating directly with Product Management and Engineering to shape the future of our AI security products.

Your Impact:

• Serve as the leading expert on new AI Security services, guiding customers through the process of securing their AI and Machine Learning (ML) pipelines from development to runtime.

• Lead and execute customer-facing projects to deploy and operationalize the Prisma AIRS suite, directly contributing to successful deployment and value realization for our customers.

• Establish standardized methodologies from initial customer projects to improve deployment speed and create a consistent approach for securing new AI and LLM technologies.

• Design and implement security solutions that protect against threats targeting LLMs, such as model poisoning, prompt injection, and data evasion.

• Develop and deliver technical workshops, best practice guides, runbooks, and strategic recommendations to help customers build a robust AI security posture.

• Create and maintain high-impact technical documentation, delivery templates, and reusable intellectual property to scale the AI Security practice globally.

• Act as a crucial conduit for field feedback by collaborating directly with Product Management and Engineering teams to shape the future of our AI security products.

• Develop and deliver technical workshops and best practice training to accelerate the readiness of our global field teams.

• Serve as a trusted advisor, using advanced troubleshooting and problem-solving skills to support both customers and internal product teams.

• Enhance our knowledge management by creating reusable technical documentation and delivery templates, leveraging AI tools where possible.

• Contribute to a centralized feedback hub by acting as a critical link between the field, Product, GTM, and Engineering teams to refine product development and support beta testing.

• Develop and implement standardized deployment processes and methodologies to ensure consistency and improve time-to-value for customers.

Qualifications

• BS in Computer Science or equivalent education/training/experience

• 5+ years of experience in a customer-facing technical role (e.g., Professional Services, Solutions Architecture, Consulting, or Technical Account Management).

• 3+ years experience with Public Cloud Platforms Architecture and Security Solution Development (Azure, AWS and GCP), particularly in the area of cloud networking, LLM Applications, Automation.

• Hands-on experience with AI/ML concepts, frameworks (e.g., TensorFlow, PyTorch), and the ML operational lifecycle (MLOps).

• A solid understanding of Large Language Models (LLMs) and the unique security challenges involved with AI Applications.

• Direct experience in AI Security, including identifying LLM threats (e.g., Prompt Injection, Model Poisoning) adversarial ML techniques, AI red teaming, or securing ML pipelines, would be a significant differentiator

• Proficiency in scripting and automation, particularly with Python and Terraform, for designing security solutions and creating reusable IP.

• Knowledge of containerization and orchestration technologies (Docker, Kubernetes) is a key differentiator.

• Direct experience in AI Security, including adversarial ML techniques, AI red teaming, or securing ML pipelines, would be a significant differentiator.

• Strong background in network security concepts: Routing, Stateful inspection, encapsulation, SSL/TLS, IPSec, Decryption

• Exceptional communication and presentation skills, with the ability to explain complex technical concepts to both technical (engineers) and non-technical (CxO) audiences.

• Experience developing and delivering technical workshops and training sessions.

• Strong consulting acumen with the ability to act as a trusted advisor to customers.

• Advanced troubleshooting and analytical skills to solve complex technical challenges related to AI model security, runtime environments, and API integrations.

• Proven ability to create and maintain high-impact technical documentation, including best practice guides, runbooks, and delivery templates.

• A mindset for creating reusable IP to scale the practice.

• Experience working cross-functionally with Product Management and Engineering teams.

• Skill in gathering, synthesizing, and articulating field feedback to effectively influence product roadmaps.

• Experience in developing and implementing standardized deployment processes and methodologies to ensure consistency and improve time-to-value for customers.

• Travel (30-40%) to Palo Alto Networks offices for workshops with the possibility of travel to customer sites to deploy Palo Alto Network solutions as outlined by the statement of work

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

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