Professional Services Consultant, AI Security

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🔥 0 minutes ago

🏄 California, Oklahoma, +3 more states – Remote

🏄 California – Remote 🌪️ Oklahoma – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote

💵 $140k - $192.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♂️ Cybersecurity / Security Engineer

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Palo Alto Networks

WebsiteLinkedInAll Job Openings

10,000+ employees

🔒 Cybersecurity

🏢 Enterprise

💰 $1M Seed Round - Morta Security on 2013-02

Cybersecurity • Enterprise

Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.

📋 Description

• Plan and execute end-to-end Prisma AIRS deployments across Network, API, Microperimeter, and Kubernetes intercept modes • Lead 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 through pre-tool-call scanning and indirect prompt injection defenses • Apply 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 • Deploy AIRS infrastructure using Terraform across AWS, Azure, and GCP • 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 with 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

🎯 Requirements

• 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 AWS, Azure, or GCP infrastructure • Working knowledge of Kubernetes, including kubectl, Helm charts, namespace management, and CNI • Strong cloud networking fundamentals, including VPC/VNet design, routing, load balancers, and IAM roles • Experience integrating REST APIs, handling authentication, and testing with Python or curl • Familiarity with Linux system administration, 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 • Strong troubleshooting skills across cloud infrastructure, containerized workloads, and API integrations • Excellent communication skills for explaining complex AI security architectures to technical and executive stakeholders • Preferred: direct experience with Palo Alto Networks products such as Strata Cloud Manager, Panorama, NGFW, or Prisma Cloud • Preferred: experience with LLM gateway proxies such as LiteLLM, LangChain, or Kong AI Gateway • Preferred: AI red teaming, structured adversarial testing, and jailbreak techniques • Preferred: agentic AI application development, including tool-calling agents and multi-agent systems • Preferred: CI/CD pipeline security and developer tooling integration • Preferred: cloud, cybersecurity, or AI/ML certifications • Preferred: advanced containerization platforms such as OpenShift, GKE Autopilot, or AKS • Must not require immigration sponsorship; the employer will not sponsor applicants for work visas

🏖️ Benefits

• Restricted stock units • Bonus • Employee benefits package • Reasonable accommodations for qualified individuals with a disability or special need