Palo Alto Networks
Sr Staff AI Engineer
$163K–$264K
Office - USA - CA - Headquarters · No · Senior Staff · Full-time · Posted Oct 8, 2026
- Experience
- Minimum of 8 years of software engineering experience.
- Education
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Visa sponsorship
- Considers applicants with current work authorization who need a transfer of an existing H-1B visa. Does not currently consider applicants requiring new visa sponsorship, including new H-1B petitions, or applicants in OPT/CPT who will require future sponsorship. Posting also states: “Is role eligible for Immigration Sponsorship?: Yes”.
About the job
Sets technical direction and leads the architecture and delivery of AI-first enterprise applications and platforms across business domains.
What you'll do
- Lead architecture and delivery of complex, cross-team full-stack, cloud-native, and applied AI systems.
- Establish reusable engineering standards and capabilities for AI-first systems, including agentic workflows and RAG.
- Translate ambiguous problems into technical strategies, mentor engineers, and advance AI-native development practices.
What they ask for
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
- Minimum of 8 years of software engineering experience, with technical leadership across complex, production-scale systems.
- Deep expertise in full-stack and distributed systems engineering, and experience setting architecture and technical direction across teams or systems.
- Production experience building AI-integrated systems using LLMs, RAG, tool calling, and agentic workflows.
Nice to have
- Proficiency in TypeScript, Node.js/NestJS, React, Python, and SQL.
- Experience with LangChain/LangGraph, MCP, A2A protocols, and production agentic architectures.
Pay
$163,200.00 - $264,000.00/yr (USD, base salary)
Tools
LLMs, RAG, TypeScript, Node.js/NestJS, React, Python, SQL, LangChain/LangGraph
AI focus
Architect and build production AI-integrated enterprise systems using LLMs, RAG, tool calling, and agentic workflows; set AI-first engineering standards and practices.
Model-written summary · the original posting is authoritative