Distinguished Forward Deployed Engineer, AI Security

🔥 22 hours ago

🌲 North Carolina – Remote

🌲 North Carolina – Remote

💵 $248.7k - $341.3k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Palo Alto Networks

WebsiteLinkedInAll Job Openings

10,000+ employees

🔒 Cybersecurity

🏢 Enterprise

💰 $1M Seed Round - Morta Security on 2013-02

Cybersecurity • Enterprise

Palo Alto Networks is a global cybersecurity company that provides AI-driven platforms, products, and services to protect networks, cloud workloads, endpoints, and applications. Its portfolio includes next-generation firewalls, SASE and Prisma Cloud (CNAPP) offerings, the Cortex security operations suite (XDR, XSOAR, XSIAM), and Unit 42 threat intelligence and incident response services. Palo Alto Networks helps enterprises secure AI deployments, automate SOC workflows, and prevent, detect, and respond to sophisticated threats across hybrid and multi-cloud environments.

📋 Description

• Lead architectural design reviews for zero-trust, high-availability AI safety topologies across enterprise environments • Write production-grade Python, Go, or C++ code integrating Prisma AIRS into enterprise microservices and AI infrastructure • Build high-throughput middleware and proxy extensions for real-time prompt security and identity-aware access controls • Architect automated infrastructure-as-code deployment modules and SDK wrappers • Optimize low-latency traffic paths for streaming LLM payloads, intelligent caching, and global load balancing • Serve as the tier-4 escalation point for critical production outages and complex distributed systems • Analyze telemetry pipelines to resolve edge-case failures across LangChain and LlamaIndex agentic frameworks • Upstream custom plugins, platform optimizations, and core engine enhancements to Prisma AIRS repositories • Partner with cross-functional leadership to turn recurring enterprise architectural patterns into native product capabilities • Author enterprise reference architectures and whitepapers establishing AI security and compliance standards

🎯 Requirements

• 10+ years of professional software development and distributed systems architecture experience in production environments • Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Cybersecurity, or equivalent practical experience • Master-level proficiency in Python, Go, or C++ • Expertise in asynchronous programming and high-concurrency systems • Extensive experience designing and operating API gateways such as Envoy and Kong • Experience with enterprise protocols including gRPC and REST • Expert knowledge of LLM orchestration, vector databases, runtime guardrails, and prompt injection mitigation • Advanced mastery of containerization, custom Kubernetes operators, service meshes, and infrastructure-as-code across major cloud providers • Comprehensive knowledge of enterprise security protocols, data loss prevention, and network segmentation frameworks • Ability to build consensus and partner with executive leadership to translate mandates into engineering designs • Comfortable presenting to executives and debugging live production incidents • Preferred: experience securing autonomous AI agent architectures and tool-use execution environments • Preferred: contributions to open-source AI security tools, red-teaming research, or LLM vulnerability benchmark suites • Preferred: expertise with Prometheus, Grafana, OpenTelemetry, or Datadog • Preferred: experience with synthetic data generation, ML-driven data sanitization pipelines, and offline evaluation sandboxes • Eligible for immigration sponsorship

🏖️ Benefits

• Restricted stock units • Bonus • Employee benefits (details referenced but not provided) • Immigration sponsorship eligibility