Senior AI Software Engineer Lead — Scalable Systems

Palo Alto Networks; Santa Clara (CA); On-site; USD 145,000 - 236,000; Full time

Job summary

Palo Alto Networks is seeking a Staff AI Software Engineer to lead next-generation AI-enabled IT services in Santa Clara. You will design scalable systems using Python, Django/FastAPI, React, and Google Cloud Vertex AI, advancing agentic workflows and enterprise-grade security.

Join a team delivering high-impact AI across business units. You will mentor engineers, align initiatives with business goals, and drive cross-team collaboration while ensuring resilience and performance in

Qualifications

• 9+ years of backend development with Python and microservices.
• Experience architecting Generative AI and LLM-powered applications.
• Hands-on with LLM orchestration frameworks (LangChain, LangGraph).
• Frontend proficiency with JavaScript, TypeScript, and React.

Responsibilities

• Drive architectural vision and scalable software assets using Python and React.
• Govern agentic systems and LLM workflows for enterprise use.
• Establish AI evaluation pipelines to measure accuracy, latency, and cost.
• Define data retrieval pipelines with vector embeddings and semantic search.
• Set prompt engineering standards and LLM security practices.
• Scale MCP servers to connect IT data with LLM apps.

Skills

Python

Django/FastAPI

LLM orchestration

LangChain/LangGraph

React/JavaScript

Docker/Kubernetes

Vertex AI

RAG architectures

AI guardrails

Education

Bachelor's degree in Computer Science

Tools

Docker

Kubernetes (GKE)

Google Vertex AI

LangChain

LangGraph

Job description

Palo Alto Networks is seeking a Staff AI Software Engineer to lead next-generation AI-enabled IT services in Santa Clara. You will design scalable systems using Python, Django/FastAPI, React, and Google Cloud Vertex AI, advancing agentic workflows and enterprise-grade security.

Join a team delivering high-impact AI across business units. You will mentor engineers, align initiatives with business goals, and drive cross-team collaboration while ensuring resilience and performance in