Principal AI Software Engineer

Palo Alto Networks

Quick summary

Work type
On-site
Location
Santa Clara, CA
Salary
$167,000–$270,500 / yr
Posted
2 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $204k
This role $219k
$149k most similar roles pay here $284k

This role pays more than 61% of similar roles. Most pay $161,875–$245,625 — the shaded band above. At the midpoint, this role pays about $219k versus about $204k 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 · Principal AI Software Engineer

As a Principal AI Software Engineer in the GTM/CX domain, you will lead the development of scalable AI and ML systems that enhance sales and customer experience operations. Your role involves defining architectural blueprints for agentic systems, ensuring safety, reliability, and observability across all components. You will design and implement advanced reasoning pipelines, retrieval systems, and knowledge graph integrations to support autonomous task execution, while also building and fine-tuning large language models (LLMs) and multimodal models. Key responsibilities include driving end-to-end solution development from prototype to production, mentoring data scientists and engineers, and communicating complex technical decisions to stakeholders. The ideal candidate has a Master’s or PhD in Computer Science, AI, Data Science, or related field, with 15+ years of experience in architecting large-scale distributed systems and working on Salesforce. Proficiency in Python, Go, Java, SQL, and cloud platforms like AWS, Azure, and GCP is essential, along with expertise in conversational agents and multi-agent automation systems.

What you'll do

  • Define architectural blueprint for scalable AI/ML and agentic systems.
  • Lead design and implementation of ML-powered agents with advanced capabilities.
  • Ensure end-to-end solution development from prototype to production readiness.
  • Build and fine-tune large language models and specialized agent models.
  • Develop advanced reasoning pipelines and knowledge graph integrations.
  • Partner with data engineering to create high-quality datasets for AI models.
  • Mentor data scientists and engineers, elevating data science practices.

What we're looking for

  • 15+ years of experience in data science, software engineering, or applied AI.
  • Proven track record in designing and deploying production ML and LLM applications.
  • Deep expertise in developing conversational agents and multi-agent automation systems.
  • Hands-on experience with orchestration frameworks like LangChain and LangGraph.
  • Strong proficiency in at least one core programming language (Python, Go, Java).
  • Extensive knowledge of distributed systems, microservices architecture, and cloud platforms.
  • Ability to lead high-ambiguity cross-team technical initiatives.

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