Senior Principal AI Software Engineer - IT Go-To-Market & Customer Experience

Palo Alto Networks

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$223,000–$306,500 / yr
Posted
2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $209k
This role $265k
$155k most similar roles pay here $323k

This role pays more than 88% of similar roles. Most pay $171,500–$246,150 — the shaded band above. At the midpoint, this role pays about $265k versus about $209k 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.

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View all roles at Palo Alto Networks

At a glance

TL;DR · Senior Principal AI Software Engineer - IT Go-To-Market & Customer Experience

As a Senior Principal AI Software Engineer at Palo Alto Networks’ Information Technology team, you will lead the architectural development of next-generation business applications focused on Generative AI transformation for Go-To-Market and customer experience processes. Your daily tasks include designing an AI Gateway layer to ensure vendor independence in LLM integration, creating unified API endpoints, and implementing comprehensive observability pipelines for GenAI systems. You will also develop agentic multi-agent workflows, automate complex GTM business logic, and establish robust security guardrails to prevent PII exposure and adversarial attacks. The ideal candidate has extensive experience with Python, Large Language Models like GPT-4 and Anthropic, and Multi-Agent Systems, along with a proven track record in technical leadership within Agile environments.

What you'll do

  • Lead the design and implementation of an AI Gateway for vendor independence in LLMs.
  • Build a unified API endpoint to abstract complexities and provide centralized control.
  • Implement comprehensive observability pipelines for GenAI to track trace-level data.
  • Create architecture to optimize performance and reduce costs by routing queries efficiently.
  • Integrate observability data into the development cycle to identify real-time issues.
  • Design sophisticated Multi-Agent Systems and Agent-to-Agent workflows for GTM processes.

What we're looking for

  • 12+ years of IT system architecture experience or equivalent advanced degree.
  • Proven technical leadership in Agile environments with large-scale project delivery.
  • Expert proficiency in Python and hands-on experience with LLMs like GPT-4.
  • Extensive experience building applications using Multi-Agent systems and A2A communication.
  • Deep expertise in designing unified API endpoints for seamless AI ecosystem integration.
  • Experience implementing robust security measures to prevent PII exposure and adversarial attacks.

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