Palo Alto Networks
Sr Staff Software Engineer (AI SW Integration - Prisma AIRS)
$135K–$218K
Office - USA - CA - Headquarters · No · Senior Staff · Full-time · Posted Oct 23, 2026
- Experience
- 4+ years in Software Engineering or Systems Integration, primarily backend development and cloud security.
- Education
- BS/MS in Computer Science, Computer Engineering, or a related technical field, or equivalent or equivalent military experience.
- Visa sponsorship
- No work visa sponsorship.
About the job
Build backend Python services and integrations for Prisma AIRS, enabling enterprises to secure, monitor, and red-team LLMs and agentic workflows.
What you'll do
- Develop asynchronous APIs, microservices, workers, and data ingestion hooks to connect Prisma AIRS with enterprise AI pipelines.
- Build AI Gateway and agent-framework integrations with security controls, policy enforcement, and fallback routing.
- Create architecture blueprints and automated red-teaming pipelines, and support partner integrations with documentation or SDKs.
What they ask for
- Production-level Python experience with asynchronous services, API frameworks, and microservices.
- Experience with enterprise APIs and gateways, data transformation, middleware, webhooks, and retry logic.
- Practical experience integrating LLM APIs, vector storage, and agentic frameworks or protocols; ability to create architecture blueprints and secure AI workloads.
- Experience with testing frameworks and distributed-system evaluation; strong customer focus, collaboration, and communication skills.
Nice to have
- Distributed task queues and event-driven backend architectures.
- Automated AI red teaming, prompt defense, MCP server security, or familiarity with ServiceNow, Databricks, or Glean.
Pay
$134,600.00 - $217,800.00/yr (USD; annual base salary)
Tools
Python, FastAPI, Flask, gRPC, REST, WebSockets, LangChain, LlamaIndex
AI focus
Integrate and secure LLMs and agentic workflows; build AI Gateway controls and automated red-teaming pipelines for prompt injection and other model vulnerabilities.
Model-written summary · the original posting is authoritative