Palo Alto Networks
Sr. Forward Deployed Engineer (Customer Engineering, Prisma AIRS)
$156K–$253K
Office - USA - CA - Headquarters +2 · No · Senior · Full-time · Posted Sep 28, 2026
- Location
- Office - USA - CA - Headquarters
Office - USA - TX
Office - USA - NY - Experience
- 7+ years of professional software engineering experience writing production-grade code, or the stated degree qualification (or equivalent practical experience).
- Education
- Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or a related field (or equivalent practical experience).
- Visa sponsorship
- Immigration sponsorship: Yes
About the job
Embeds with customer engineering teams to build, deploy, and optimize secure enterprise AI workloads using Prisma AIRS, while contributing code and customer-driven improvements to the core platform.
What you'll do
- Develop production integrations, plugins, deployment modules, and SDK wrappers for customer AI and cloud-native environments.
- Design and troubleshoot low-latency, secure, multi-cloud gateway architectures and live production systems.
- Turn customer requirements and implementation patterns into core product contributions, reusable architectures, and roadmap feedback.
What they ask for
- 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.
- Expertise in Python, Go, TypeScript, or C++, plus enterprise API development and integration.
- Hands-on experience with LLM orchestration, prompt security, model routing, and vector databases or RAG architectures.
- Proficiency with Kubernetes, Docker, Terraform, and a major cloud platform; understanding of OIDC/OAuth2 and zero-trust networking.
Nice to have
- Familiarity with LLM evaluation frameworks and model benchmarking.
- Experience with AI security guardrails, adversarial testing, or enterprise observability systems.
Pay
$156,400.00 - $253,000.00/yr (base salary; annual range; USD)
Tools
Python, Go, TypeScript, C++, Kubernetes, Docker, Terraform, OpenTelemetry
AI focus
Builds and secures enterprise AI workloads, including LLM orchestration, prompt security, model routing, and integrations with multi-LLM providers; analyzes failures in AI agent frameworks.
Model-written summary · the original posting is authoritative