Sr. Forward Deployed Engineer (Customer Engineering, Prisma AIRS)

Location: Onsite in Santa Clara, California; New York, New York; or Plano, Texas, United States

Salary: $156,400–$253,000 annual base salary

Company

Cybersecurity organization developing AI-enabled technologies to protect digital environments and enterprise workloads.

What you will do

• Write production-grade Python, Go, and TypeScript code integrating Prisma AIRS with microservices, API meshes, and multi-cloud architectures.
• Build middleware, plugins, SDK wrappers, and deployment modules for identity-aware policies, prompt security, routing, telemetry, Kubernetes, Helm, and Terraform.
• Design and deploy hybrid, multi-cloud, and VPC-isolated gateway topologies across multiple LLM providers.
• Optimize high-throughput, low-latency traffic paths involving streaming payloads, caching, and load balancing.
• Lead architecture reviews with customer Principal Engineers and CISOs and serve as a tier-3 engineering contact for production systems.
• Diagnose distributed-system and AI-agent failures, upstream fixes into core repositories, and turn customer implementations into reusable platform features and reference architectures.

Requirements

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or a related field, or equivalent practical experience; 7+ years of professional software engineering experience is also accepted.
• Deep experience with Python, Go, TypeScript, or C++, enterprise APIs including REST, gRPC, and WebSockets, and API gateways such as Envoy or Kong.
• Hands-on experience with LLM orchestration, prompt security, token optimization, model routing, vector databases, and RAG architectures.
• Proficiency with Kubernetes, Docker, Terraform, and AWS, GCP, or Azure, plus knowledge of OIDC/OAuth2, zero-trust networking, and secure API integration.
• Experience with testing frameworks and evaluation workflows for distributed systems, including the ability to analyze production traces and debug live outages.
• Ability to work directly with CIOs, CISOs, and IT decision-makers while translating enterprise requirements into architectures and product improvements.

Nice to have

• Familiarity with LangChain, LlamaIndex, OpenAI Evals, and LLM benchmarking or evaluation metrics.
• Knowledge of AI security guardrails, bias detection, prompt-injection defense, and adversarial testing.
• Experience with Datadog, OpenTelemetry, Prometheus, synthetic data generation, automated data pipelines, or simulation environments.

Culture & Benefits

• Most teams work from the office full time, with flexibility when needed.
• Work in a collaborative environment focused on disruption, execution, integrity, and inclusion.
• Compensation may include restricted stock units and a bonus in addition to base salary.
• Employee benefits are provided.
• Immigration sponsorship is available for this role.