Sr Staff IT AI Software Engineer

Palo Alto Networks

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$145,000–$235,500 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $190k
$134k most similar roles pay here $249k

This role pays less than 56% of similar roles. Most pay $162,000–$227,450 — the shaded band above. At the midpoint, this role pays about $190k versus about $195k 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 28 open roles on FindRole.

Listed pay typically runs $154,000–$249,500 across 25 roles with salary data.

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View all roles at Palo Alto Networks

At a glance

TL;DR · Sr Staff IT AI Software Engineer

The Sr Staff IT AI Software Engineer role at Palo Alto Networks' Customer Support Tools team in IT involves leading the design and delivery of next-generation scalable services using Python, Django, FastAPI, React, and GraphQL within Google Cloud Platform. This position requires driving the strategic architectural vision for high-quality software assets and advancing agentic systems with Vertex AI Agent SDK or similar frameworks to ensure seamless interoperability between autonomous enterprise services. Key responsibilities include establishing evaluation frameworks for LLM performance, defining data retrieval pipelines, setting prompt engineering standards, and mentoring engineers across the organization. The ideal candidate has extensive experience in backend development with Python, frontend development with React, and expertise in containerization and orchestration using Docker and Kubernetes, along with a proven track record of architecting enterprise-grade software solutions at scale.

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 optimize vector embeddings and semantic search patterns across the organization.
  • Standardize Model Context Protocol servers to bridge core IT data with LLM-driven applications effectively.
  • 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

  • 9+ years of professional experience in backend development with Python and frameworks like Django or FastAPI.
  • Proven track record of architecting, deploying, and scaling production-grade Generative AI and LLM-powered applications.
  • Hands-on experience with LLM orchestration and agentic frameworks such as LangChain, LangGraph, or native cloud Agent SDKs.
  • Deep technical expertise in RAG architectures including vector embeddings, semantic search, and working with vector databases.
  • Expert-level proficiency in frontend development with JavaScript, TypeScript, and React.
  • Demonstrated experience implementing LLM guardrails, prompt injection defenses, and robust AI evaluation workflows.
  • Proven track record of architecting and delivering enterprise-grade software solutions from concept to production at scale.

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