Staff AI Software Engineer

Palo Alto Networks

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$124,000–$201,500 / yr
Posted
2 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $197k
This role $163k
$110k most similar roles pay here $253k

This role pays less than 74% of similar roles. Most pay $162,000–$232,750 — the shaded band above. At the midpoint, this role pays about $163k versus about $197k for comparable roles.

Based on 240 similar postings.

Employer

About Palo Alto Networks

Palo Alto Networks is a global cybersecurity company offering network security, cloud security, and endpoint protection solutions.

Palo Alto Networks currently has 30 open roles on FindRole.

Listed pay typically runs $154,000–$249,500 across 27 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Staff AI Software Engineer

The Staff IT Software Engineer role at our company involves leading the design and delivery of next-generation scalable services using Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform. As a technical leader, you will drive architectural vision for both traditional microservices and emerging agentic workflows, ensuring systems are resilient and innovative. Key responsibilities include architecting advanced agentic systems with Vertex AI Agent SDK or similar frameworks, establishing AI evaluation frameworks, defining data retrieval pipelines, and mentoring engineers to foster excellence in full-stack and AI domains. The ideal candidate has extensive experience in backend development with Python, frontend development with React, and deploying Generative AI applications in production environments. Strong proficiency in Docker, Kubernetes (GKE), and Google Cloud Platform is essential, along with expertise in Retrieval-Augmented Generation architectures and LLM security frameworks.

What you'll do

  • Drive the strategic architectural vision for high-quality, scalable software assets using Python and React.
  • Architect advanced agentic systems using Vertex AI Agent SDK or alternative frameworks to ensure seamless interoperability.
  • Establish enterprise-wide AI Evaluation frameworks to measure and optimize LLM/agent performance rigorously.
  • Define data retrieval pipeline strategies to utilize vector embeddings and semantic search patterns efficiently.
  • Standardize prompt-engineering standards and implement robust security frameworks for LLM-driven applications.
  • Mentor technical leaders and engineers, fostering a culture of excellence in full-stack and AI domains.
  • Ensure cross-team project outcomes meet rigorous enterprise-grade standards for security, quality, and performance.

What we're looking for

  • 6+ years of backend development experience with Python and frameworks like Django or FastAPI.
  • Hands-on experience deploying and maintaining Generative AI or LLM-powered applications in production.
  • Strong technical understanding of Retrieval-Augmented Generation (RAG) architectures and vector embeddings.
  • Expertise in frontend development using JavaScript, TypeScript, and React.
  • Proficiency in containerization with Docker and orchestration with Kubernetes (GKE).
  • Demonstrated experience implementing LLM guardrails and prompt engineering best practices.

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