Staff AI Software Engineer

Palo Alto Networks

Quick summary

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

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $193k
This role $163k
$109k most similar roles pay here $262k

This role pays less than 77% of similar roles. Most pay $165,000–$220,750 — the shaded band above. At the midpoint, this role pays about $163k versus about $193k 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 31 open roles on FindRole.

Listed pay typically runs $155,000–$251,000 across 29 roles with salary data.

Most-posted roles

View all roles at Palo Alto Networks

At a glance

TL;DR · Staff AI Software Engineer

The role of Staff IT Software Engineer at our company involves leading the design and delivery of 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 agentic workflows, ensuring systems are resilient and innovative. Key responsibilities include architecting advanced AI systems with Vertex AI Agent SDK or similar frameworks, establishing evaluation frameworks to measure LLM performance, defining data retrieval pipelines, and mentoring engineers across the organization. The ideal candidate has extensive experience in backend development with Python, frontend development with React, and deploying generative AI applications in production environments. 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 among autonomous services.
  • Establish enterprise-wide AI Evaluation frameworks to measure and optimize LLM/agent performance across various metrics.
  • Define data retrieval pipeline strategies to optimize vector embeddings and semantic search patterns for scalability.
  • Standardize prompt-engineering standards and implement robust security frameworks to protect against vulnerabilities in LLM applications.
  • Mentor technical leaders and engineers, fostering a culture of excellence and accountability 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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