
Distinguished Forward Deployed Engineer, AI Security
Posted 15 hours ago

Posted 15 hours ago
This is a fully remote position, open to applicants in North Carolina.
• Oversee architectural design evaluations for zero-trust, high-availability AI safety architectures within enterprise settings
• Develop production-quality code in Python, Go, or C++ to integrate Prisma AIRS into enterprise microservices and AI frameworks
• Create high-throughput middleware and proxy extensions for real-time prompt security and identity-aware access controls
• Design automated infrastructure-as-code deployment modules and SDK wrappers
• Enhance low-latency traffic paths for streaming LLM payloads, intelligent caching, and global load balancing
• Act as the tier-4 escalation contact for urgent production outages and intricate distributed systems
• Evaluate telemetry pipelines to address edge-case failures within LangChain and LlamaIndex agentic frameworks
• Contribute custom plugins, platform optimizations, and core engine improvements to Prisma AIRS repositories
• Collaborate with cross-functional leadership to convert recurring enterprise architectural models into native product functionalities
• Write enterprise reference architectures and whitepapers that establish AI security and compliance standards
• Over 10 years of experience in professional software development and distributed systems architecture in production environments
• Master’s degree or Ph.D. in Computer Science, Artificial Intelligence, Cybersecurity, or equivalent practical experience
• Master-level expertise in Python, Go, or C++
• Proficient in asynchronous programming and high-concurrency systems
• Significant experience in designing and managing API gateways such as Envoy and Kong
• Familiarity with enterprise protocols including gRPC and REST
• In-depth knowledge of LLM orchestration, vector databases, runtime guardrails, and prompt injection mitigation
• Advanced skills in containerization, custom Kubernetes operators, service meshes, and infrastructure-as-code across leading cloud providers
• Thorough understanding of enterprise security protocols, data loss prevention, and network segmentation frameworks
• Capability to build consensus and collaborate with executive leadership to translate mandates into engineering designs
• Comfortable presenting to executives and troubleshooting live production incidents
• Preferred: experience in 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 in Prometheus, Grafana, OpenTelemetry, or Datadog
• Preferred: experience in synthetic data generation, ML-driven data sanitization pipelines, and offline evaluation sandboxes
• Eligible for immigration sponsorship
• Restricted stock units
• Bonus
• Employee benefits (details referenced but not provided)
• Immigration sponsorship eligibility
Weedmaps
Kinaxis
Convoso
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