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Palo Alto Networks

Distinguished Forward Deployed Engineer, AI Security

Palo Alto Networks

. Lead architectural design reviews for zero-trust, high-availability AI safety topologies across enterprise environments .

Posted 10/5/2026full-timeRemote • North Carolina • United StatesSeniorLead💰 $248,700 - $341,250 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates advanced expertise in software development and distributed systems architecture, with a strong focus on AI safety, zero-trust environments, and high-availability systems. Proficient in Python, Go, or C++, with a deep understanding of enterprise security protocols and infrastructure-as-code practices.

Highest-signal resume keywords
10+ Years Software Development ExperienceMaster-Level Proficiency In Python, Go, Or C++Expertise In Asynchronous ProgrammingExtensive Experience With API GatewaysAdvanced Mastery Of Containerization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Software DevelopmentDistributed Systems ArchitectureAsynchronous ProgrammingHigh-Concurrency SystemsAPI Gateway DesignLLM OrchestrationInfrastructure-As-CodeData Loss PreventionNetwork SegmentationPrompt Injection Mitigation
Soft Skills
Consensus BuildingExecutive CommunicationProblem Solving
Tools & Technologies
Prisma AIRSEnvoyKongGRPCRESTKubernetesPrometheusGrafanaOpenTelemetryDatadog
Certifications & Qualifications
Master's Degree In Computer SciencePh.D. In Artificial IntelligencePh.D. In Cybersecurity
Industry Keywords
AI SafetyZero-Trust ArchitectureHigh-Availability SystemsEnterprise Security ProtocolsTelemetry Pipelines

Tech Stack

Tools & technologies
CloudCyber SecurityDistributed SystemsGrafanaGRPCKubernetesMicroservicesPrometheusPythonC++Go

About the role

Key responsibilities & impact
  • Lead architectural design reviews for zero-trust, high-availability AI safety topologies across enterprise environments
  • Write production-grade Python, Go, or C++ code integrating Prisma AIRS into enterprise microservices and AI infrastructure
  • Build high-throughput middleware and proxy extensions for real-time prompt security and identity-aware access controls
  • Architect automated infrastructure-as-code deployment modules and SDK wrappers
  • Optimize low-latency traffic paths for streaming LLM payloads, intelligent caching, and global load balancing
  • Serve as the tier-4 escalation point for critical production outages and complex distributed systems
  • Analyze telemetry pipelines to resolve edge-case failures across LangChain and LlamaIndex agentic frameworks
  • Upstream custom plugins, platform optimizations, and core engine enhancements to Prisma AIRS repositories
  • Partner with cross-functional leadership to turn recurring enterprise architectural patterns into native product capabilities
  • Author enterprise reference architectures and whitepapers establishing AI security and compliance standards

Requirements

What you’ll need
  • 10+ years of professional software development and distributed systems architecture experience in production environments
  • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Cybersecurity, or equivalent practical experience
  • Master-level proficiency in Python, Go, or C++
  • Expertise in asynchronous programming and high-concurrency systems
  • Extensive experience designing and operating API gateways such as Envoy and Kong
  • Experience with enterprise protocols including gRPC and REST
  • Expert knowledge of LLM orchestration, vector databases, runtime guardrails, and prompt injection mitigation
  • Advanced mastery of containerization, custom Kubernetes operators, service meshes, and infrastructure-as-code across major cloud providers
  • Comprehensive knowledge of enterprise security protocols, data loss prevention, and network segmentation frameworks
  • Ability to build consensus and partner with executive leadership to translate mandates into engineering designs
  • Comfortable presenting to executives and debugging live production incidents
  • Preferred: experience securing autonomous AI agent architectures and tool-use execution environments
  • Preferred: contributions to open-source AI security tools, red-teaming research, or LLM vulnerability benchmark suites
  • Preferred: expertise with Prometheus, Grafana, OpenTelemetry, or Datadog
  • Preferred: experience with synthetic data generation, ML-driven data sanitization pipelines, and offline evaluation sandboxes
  • Eligible for immigration sponsorship

Benefits

Comp & perks
  • Restricted stock units
  • Bonus
  • Employee benefits (details referenced but not provided)
  • Immigration sponsorship eligibility