AI Gateway FDE — Enterprise AI Integration & Security

Palo Alto Networks; Plano (TX); On-site; USD 147,000 - 238,000; Full time

Job summary

Palo Alto Networks is seeking a Forward Deployed Engineer (FDE) for AI Gateway to embed with customer teams, write production code, and design low-latency topologies. You will extend the platform edge while contributing code back to the core AI Gateway engine.

You will lead deployments with enterprise customers, build plugins, and collaborate across engineering and security teams to deliver secure AI workloads at scale.

Qualifications

• 7+ years writing production code (Python, Go, TypeScript/C++) with APIs (gRPC, REST, WebSockets) and API gateways (Envoy, Kong).
• Hands-on experience with LLM orchestration, prompt security, token optimization, model routing, and vector databases/RAG architectures.
• Proficiency in Kubernetes, Docker, Terraform, AWS/GCP/Azure, OIDC/OAuth2, and zero-trust networking.

Responsibilities

• Write production-grade code to integrate AI Gateway with microservices, API meshes, and multi-cloud architectures.
• Build custom middleware/plugins for identity-aware policies, prompt security, dynamic routing, and telemetry pipelines.
• Develop automated deployment modules (Terraform, Helm, Kubernetes) and SDK wrappers.
• Optimize high-throughput, low-latency traffic paths (streaming payloads, caching, load balancing).
• Lead Architectural Design Reviews (ADRs) with customer Principal Engineers and CISOs for zero-trust deployments.

Skills

Production coding

APIs & gateways

LLM orchestration

Zero-trust networking

Tools

Kubernetes

Docker

Terraform

AWS/GCP/Azure

OIDC/OAuth2

Envoy/Kong

Job description

Palo Alto Networks is seeking a Forward Deployed Engineer (FDE) for AI Gateway to embed with customer teams, write production code, and design low-latency topologies. You will extend the platform edge while contributing code back to the core AI Gateway engine.

You will lead deployments with enterprise customers, build plugins, and collaborate across engineering and security teams to deliver secure AI workloads at scale.