AI Security Professional Services Consultant

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 Google Cloud Platform 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.

• 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 Google Cloud Platform.
• 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., * 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, Google Cloud Platform), cybersecurity (CISSP, CEH), or AI/ML.
• Experience with advanced containerization platforms such as OpenShift, GKE Autopilot, or AKS.

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.

$140,000.00 - $192,500.00/yr

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.

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!

This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.