Job Summary
As a Forward Deployed Engineer (FDE) for Prisma AIRS, you are a hands-on developer and systems architect who embeds with customer engineering teams. You write production code, design low-latency topologies, and build custom plugins to ship secure enterprise AI workloads to production. You bridge the gap between customer production environments and core engineering, extending the platform edge while directly contributing code back to the core Prisma AIRS engine.
Key Responsibilities
•Write production-grade code (Python, Go, TypeScript) to integrate Prisma AIRS 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 including streaming payloads, caching, and load balancing.
•Lead Architectural Design Reviews (ADRs) with customer Principal Engineers and CISOs for zero-trust deployments.
•Deploy hybrid, multi-cloud, or VPC-isolated gateway topologies across multi-LLM providers (OpenAI, Anthropic, Bedrock, local vLLM).
•Serve as the tier-3 engineering point of contact for live production systems, debugging distributed systems bottlenecks.
•Analyze OpenTelemetry/Prometheus traces to diagnose edge-case failures in AI agent frameworks like LangChain, LlamaIndex, and AutoGen.
•Upstream custom plugins, bug fixes, and edge integrations directly into core product repositories.
•Partner with Product and Core SWE to turn enterprise architectural patterns into platform features.
•Convert customer implementations into reusable reference architectures, deployment patterns, and automation frameworks.
•Identify feature gaps, usability improvements, and operational pain points to influence the product roadmap.
Qualifications
Required Qualifications
•Education & Experience: Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field (or equivalent practical experience), or 7+ years of professional software engineering experience writing production-grade code.
•Core Software & API Development: Expertise in Python (preferred), Go, TypeScript, or C++, with deep experience developing, debugging, and integrating enterprise APIs (REST, gRPC, WebSockets) and API gateways (e.g., Envoy, Kong).
•AI & LLM Architecture: Hands-on experience with LLM orchestration, prompt security, token optimization, model routing, and vector databases / RAG architectures.
•Infrastructure & Cloud Native: Proficiency with containerization, orchestration, and infrastructure-as-code (Kubernetes, Docker, Terraform) across major cloud platforms (AWS, GCP, or Azure).
•Security & Networking: Solid understanding of enterprise security protocols including OIDC/OAuth2, zero-trust networking, and secure API integration.
•Testing & Quality Assurance: Experience using testing frameworks (e.g., PyTest, unittest) and robust evaluation workflows for distributed systems.
•Customer & Strategic Impact: Proven ability to interface directly with executive leadership (CIOs/CISOs) and IT decision-makers—whiteboarding enterprise architectures, translating complex customer needs, and directly influencing product roadmaps.
•Engineering Mindset: A hands-on "0-to-1" builder mentality who thrives in ambiguous environments, owns problems end-to-end, and enjoys pair-programming or digging into raw code and traces to solve live outages.
Preferred Qualifications
•AI Evaluation & Frameworks: Familiarity with LLM evaluation frameworks (e.g., LangChain, LlamaIndex, OpenAI Evals) and model performance/benchmarking metrics.
•AI Safety & Adversarial Testing: Practical knowledge of AI security guardrails, bias detection, prompt injection defense, and adversarial testing practices.
•Observability & Monitoring: Hands-on experience with enterprise observability, tracing, and log-monitoring systems (e.g., Datadog, OpenTelemetry, Prometheus).
•Simulation & Synthetic Data: Exposure to synthetic data generation, automated data pipelines, and test simulation environments.
Compensation Disclosure
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) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus.
$156,400.00 - $253,000.00/yr
Role is eligible for Immigration Sponsorship.
