Distinguished Forward Deployed Engineer, AI Security
About The Position
As a Distinguished Forward Deployed Engineer for Prisma AIRS, you will serve as the principal technical authority embedded within strategic enterprise engineering teams. Operating at the intersection of AI safety, zero-trust architecture, and distributed systems, you will architect, build, and deploy secure enterprise-grade AI workloads to production. You will write highly performant code, define deployment standards, and bridge high-impact enterprise environments with core product engineering. Your technical leadership will contribute directly to the Prisma AIRS engine and help shape the product roadmap. The role is remote, with hybrid teams collaborating across geographies. You will work closely with customers and cross-functional partners to deliver secure AI workloads and translate enterprise needs into product capabilities.
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++, with expertise in asynchronous programming and high-concurrency systems.
- Extensive experience designing and operating API gateways such as Envoy or Kong and enterprise protocols such as gRPC and REST.
- Expert-level 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.
- Proven ability to build consensus and partner with executive leadership to translate mandates into engineering designs.
- Hands-on builder mindset, with the ability to present to executives and debug live production incidents.
Nice To Haves
- Deep experience building, evaluating, and securing autonomous AI agent architectures and tool-use execution environments.
- Prior contributions to open-source AI security tools, red-teaming research, or LLM vulnerability benchmark suites.
- Expertise in large-scale observability and logging infrastructure using Prometheus, Grafana, OpenTelemetry, or Datadog.
- Hands-on experience with automated synthetic data generation, ML-driven data sanitization pipelines, and offline evaluation sandboxes.
Responsibilities
- Lead architectural design reviews to build 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 to accelerate enterprise product adoption.
- Optimize low-latency traffic paths for streaming LLM payloads, intelligent caching, and global load balancing.
- Serve as the tier-4 escalation point for mission-critical production outages and complex distributed systems.
- Analyze telemetry pipelines to resolve edge-case failures across agentic frameworks such as LangChain and LlamaIndex.
- Contribute custom plugins, platform optimizations, and core engine enhancements to primary Prisma AIRS repositories.
- Partner with cross-functional leadership to convert recurring enterprise architectural patterns into native product capabilities.
- Author enterprise reference architectures and whitepapers to establish industry standards for AI security and compliance.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
