Senior AI Architect & Enterprise Systems Leader

Jobs Paloaltonetworks; California; Hybrid; USD 163,000 - 264,000; Full time

Job summary

Palo Alto Networks is seeking a Sr Staff AI Engineer within Information Technology. You will set the technical direction for AI-first enterprise systems and define architectural standards across multiple business domains.

You will tackle ambiguous problems hands-on while mentoring engineers, shaping scalable AI platforms, and driving modern development practices across our enterprise applications. The role emphasizes collaboration, mentorship, and impact in a fast-paced environment.

Qualifications

• 8+ years of software engineering with leadership across production-scale systems.
• Deep full-stack and distributed systems expertise.
• Experience defining architecture and technical direction across services.
• Proven ability to translate business problems into technical architectures.
• Experience with AI-integrated systems, LLMs and RAG.

Responsibilities

• Set architectural vision for AI-first enterprise applications.
• Lead architecture and delivery of cross-team systems across full-stack, cloud-native services, and AI.
• Establish reusable standards and reference architectures for AI-first systems.
• Partner with senior leaders to translate problems into technical strategies.
• Drive AI-native engineering practices using modern tools to improve velocity.
• Mentor engineers and multiply impact across the org.

Skills

Software engineering

Technical leadership

Full-stack engineering

Distributed systems

APIs & cloud-native

Education

Bachelor's or Master's in CS/Engineering

Tools

Docker

Kubernetes

Cursor

Claude Code

Windsurf

LangChain

LangGraph

Vector databases

Job description

Palo Alto Networks is seeking a Sr Staff AI Engineer within Information Technology. You will set the technical direction for AI-first enterprise systems and define architectural standards across multiple business domains.

You will tackle ambiguous problems hands-on while mentoring engineers, shaping scalable AI platforms, and driving modern development practices across our enterprise applications. The role emphasizes collaboration, mentorship, and impact in a fast-paced environment.