Remote Senior Forward-Deployed AI Security Engineer

Palo Alto Networks; Santa Clara (CA); Remote; USD 249,000 - 341,000; Full time

Job summary

Palo Alto Networks is seeking a Distinguished Forward Deployed Engineer for Prisma AIRS to lead secure, scalable AI workloads in production. You will architect, build, and deploy enterprise-grade AI systems, bridging security, AI, and core product engineering.

This role emphasizes high-performance code, deployment standards, and cutting-edge AI safety practices. You will collaborate with executive leadership to shape product roadmap, author reference architectures, and drive adoption across

Qualifications

• Master-level proficiency in Python, Go, or C++.
• Experience with API gateways (Envoy, Kong) and enterprise protocols (gRPC, REST).
• Expert-level knowledge of LLM orchestration, vector databases, and prompt injection mitigation.

Responsibilities

• Lead Architectural Design Reviews for zero-trust AI safety topologies.
• Write production-grade code integrating Prisma AIRS into enterprise microservices.
• Build middleware and proxies for real-time prompt security and access controls.
• Architect IaC deployment modules and SDK wrappers for rapid adoption.
• Optimize low-latency traffic paths for streaming LLM payloads and global load balancing.
• Serve as tier-4 escalation point for outages and complex distributed systems.
• Analyze telemetry to resolve edge-case failures across LangChain/LlamaIndex.

Skills

Python

Go

C++

LLM orchestration

APIs (gRPC/REST)

Kubernetes

Security protocols

Education

Master’s degree or Ph.D. in CS/AI/Cybersecurity

Tools

Envoy

Kong

Prometheus

Grafana

OpenTelemetry

Datadog

Job description

Palo Alto Networks is seeking a Distinguished Forward Deployed Engineer for Prisma AIRS to lead secure, scalable AI workloads in production. You will architect, build, and deploy enterprise-grade AI systems, bridging security, AI, and core product engineering.

This role emphasizes high-performance code, deployment standards, and cutting-edge AI safety practices. You will collaborate with executive leadership to shape product roadmap, author reference architectures, and drive adoption across