Professional Services Consultant, AI Security

Our Mission

At Palo Alto Networks were united by a shared missionto 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 youre ready to do the most meaningful work of your career alongside people who are just as passionate as you are youre 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

As an AI Security Professional Services Consultant you will be a hands-on delivery expert for Prisma AIRS Palo Alto Networks AI Runtime Security platform. You will deploy configure and tune AIRS across cloud and on-premises environments to protect customer AI applications from development through production. Additionally you will establish scalable delivery patterns and architectures integrating AI security profiles into complex enterprise application stacks. This role is crucial for driving global adoption and operationalizing AI security best practices.

• Plan and execute end-to-end Prisma AIRS deployments across Network API Microperimeter and Kubernetes intercept modes.

• Lead full customer onboarding including license activation deployment profile creation and API key lifecycle management.

• Integrate AIRS into application stacks via REST APIs LLM gateway proxies CI/CD pipelines and AI developer tools.

• Configure and tune AI security profiles for prompt injection DLP and guardrails in Strata Cloud Manager.

• Deliver Day-2 operations guidance including dashboard reviews API key rotation and iterative detection tuning.

• Design LLM gateway security architectures with virtual key management and pre/post-call guardrail configuration.

• Extend security to agentic applications by implementing pre-tool-call scanning and defending against indirect prompt injections.

• Apply knowledge of LLM threat taxonomies including prompt injection jailbreaking and OWASP Top 10 for LLMs.

• Evaluate fail-open versus fail-close trade-offs and inline scan latency impacts for customer workloads.

• Deploy AIRS infrastructure using Terraform across AWS Azure and GCP environments.

• Configure cloud IAM roles and service identities for secure firewall-to-cloud access.

• Install and configure Kubernetes CNI for container-level AI traffic inspection and IP tag harvesting.

• Deploy panredirect agents on Linux workloads configuring selective steering rules and systemd persistence.

• Build and maintain scalable delivery templates Terraform architectures and API integration patterns.

• Collaborate with Product and Engineering to surface deployment edge cases and feature gaps.

• Deliver enablement workshops on AIRS architecture threat scenarios and operational runbooks.

Qualifications

Required Qualifications

• Minimum of 5 years of experience in a customer-facing technical delivery role such as Professional Services or Solutions Engineering.

• Hands-on experience with Terraform or equivalent IaC tools for deploying infrastructure in AWS Azure or GCP.

• Working knowledge of Kubernetes including kubectl Helm charts namespace management and container networking (CNI).

• Strong cloud networking fundamentals involving VPC/VNet design routing load balancers and IAM roles.

• Proven experience integrating REST APIs into applications handling authentication and testing with Python or curl.

• Familiarity with Linux system administration including systemd service management and network interface configuration.

• Solid understanding of AI/ML concepts and the MLOps lifecycle.

• Deep knowledge of LLM security risks including prompt injection jailbreaking and agentic attack surfaces.

• Familiarity with AI security frameworks such as OWASP Top 10 for LLMs or MITRE ATLAS.

• Proficiency in Python or equivalent scripting languages for automation and delivery tooling.

• Strong troubleshooting skills across cloud infrastructure containerized workloads and API integrations.

• Excellent communication skills to explain complex AI security architectures to technical and executive stakeholders.

Preferred Qualifications

• Direct experience with Palo Alto Networks products like Strata Cloud Manager Panorama NGFW or Prisma Cloud.

• Experience deploying or operating LLM gateway proxies such as LiteLLM LangChain or Kong AI Gateway.

• Hands-on experience with AI red teaming structured adversarial testing and jailbreak techniques.

• Background in agentic AI application development including tool-calling agents and multi-agent systems.

• Familiarity with CI/CD pipeline security and developer tooling integration.

• Relevant certifications in cloud platforms (AWS Azure GCP) cybersecurity (CISSP CEH) or AI/ML.

• Experience with advanced containerization platforms such as OpenShift GKE Autopilot or AKS.

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

Were trailblazers that dream big take risks and challenge cybersecuritys status quo. Its simple: we cant 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 .

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.