Sr Staff Software Engineer (AI SW Integration - Prisma AIRS)

Palo Alto Networks; Santa Clara (CA); Sur place; USD 150 000 - 230 000; Plein temps

Résumé du poste

Palo Alto Networks is seeking a Backend AI Software Integration Engineer to build a multi-tenant GenAI Security Platform. You will focus on backend Python services, API endpoints, and integration hooks to embed Prisma AIRS across enterprise AI pipelines.

You will work on asynchronous microservices, data ingestion, webhook receivers, and security controls, collaborating with LangChain, LlamaIndex, and MCP teams while ensuring scalable, secure AI workloads.

Qualifications

• 4+ years in Software Engineering with backend focus
• Production-level Python for asynchronous services
• Experience with API frameworks (FastAPI, Flask, or gRPC)
• Experience with REST, gRPC, WebSockets and API gateways
• Data transformation and middleware/webhooks development
• Experience integrating LLM APIs, vector storage, and agent protocols

Responsabilités

• Design, build, and maintain high-performance Python backend services
• Create API endpoints, webhook receivers, and data ingestion hooks
• Develop middleware for AI gateway integrations with LangChain, LlamaIndex, MCP
• Document architecture with diagrams and blueprints (Lucidchart) for Prisma AIRS points
• Build automated red-teaming pipelines and secure AI workloads
• Provide partner documentation and SDKs to speed integrations
• Travel as needed

Connaissances

Python backend

API development

REST/gRPC/WebSockets

Async programming

Security awareness

Testing

Communication

Formation

BS/MS in CS/related field

Equivalent military experience

Outils

Envoy

Kong

Lucidchart

Prisma AIRS

LangChain

LlamaIndex

MCP

Celery

Redis

RabbitMQ

Description du poste

Our Mission

At Palo Alto Networks®, we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

Join our team as a Backend AI Software Integration Engineer building a multi-tenant GenAI Security Platform that enables enterprises to benchmark, red-team, and secure LLMs and agentic workflows. In this core engineering role, you will focus predominantly on backend software development in Python-building middleware APIs, data ingestion endpoints, and integration hooks to embed Palo Alto Networks Prisma AIRS across enterprise AI pipelines and partner architectures.

Key Responsibilities

• Backend Software & API Engineering: Design, build, and maintain high-performance, asynchronous REST/gRPC microservices, background job workers, and database schemas in Python.
• AI Ingestion & Integration Hooks: Develop clean API endpoints, webhook receivers, and data ingestion hooks to collect, route, and inspect LLM prompts, context payloads, and agent execution logs.
• AI Gateways & Agent Workflows: Build middleware logic and AI Gateway integrations connecting model providers and agentic frameworks (LangChain, LlamaIndex, MCP) with inline security controls, policy enforcement, and fallback routing.
• Solution Architecture & Blueprints: Author technical architecture diagrams and integration blueprints documenting insertion points for the Prisma AIRS portfolio (Model, Red Teaming, Runtime, and Agent Security) within cloud and hybrid environments.
• Automated Red-Teaming & API Exposure : Engineer programmatic execution pipelines for automated LLM probing (jailbreaks, prompt injections) and expose structured API endpoints to serve telemetry data to frontend dashboards and SIEM tools.
• Technical Onboarding: Review partner software architecture and provide documentation or SDKs to speed up integration timeline
• Travel: This role may require travel

Qualifications

Required Qualifications

• Experience: 4+ years in Software Engineering or Systems Integration with a primary emphasis on backend development and cloud security.
• Backend Python Depth: Production-level mastery of Python for asynchronous backend services, API frameworks (FastAPI, Flask, or gRPC), and microservice architectures.
• Core Software & API Development: Experience developing, debugging, and integrating enterprise APIs (REST, gRPC, WebSockets) and API gateways (e.g., Envoy, Kong).
• Data Transformation: Experience writing code to map, translate, and standardize mismatched data formats between systems.
• System Orchestration: Experience building robust middleware, webhooks, and retry logic to handle high-volume sync traffic and system failures.
• AI Stack Integration: Practical experience integrating LLM APIs, vector storage, and agentic protocols/frameworks (LangChain, LlamaIndex, MCP) via backend middleware.
• Architecture & Security: Proven ability to create technical architecture blueprints (e.g., Lucidchart) and secure AI workloads against prompt injection and model vulnerabilities. Rapid mastery of Prisma AIRS.
• Testing & Quality Assurance: Experience using testing frameworks (e.g., PyTest, unittest) and robust evaluation workflows for distributed systems.
• Communication: Excellent customer focus, collaboration and communication skills
• Education: BS/MS Computer Science, Computer Engineering, or related technical field or equivalent or equivalent military experience

Preferred Qualifications

• Asynchronous Systems: Strong background in distributed task queues (e.g., Celery, Redis, RabbitMQ) and event-driven backend architectures.
• AI Security Expertise: Hands-on experience with automated AI red teaming, prompt defense tools, and securing Model Context Protocol (MCP) server interactions.
• Ecosystem Familiarity: Working knowledge of major enterprise platforms (e.g., ServiceNow, Databricks, Glean)

Compensation Disclosure

The compensation offered for this position will depend on qual