Sr. Principal AI Researcher, AI Transformation

Shape the future of AI-powered software engineering at Palo Alto Networks. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software at Palo Alto Networks gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities
Stay at the forefront of AI advancements in agentic codin

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Required Qualifications
Minimum of 5 years of experience in Applied AI research, Data Science, or Machine Learning engineering.
Deep, hands-on experience over the past 12+ months developing leading-edge agentic coding practices.
Proficiency in Python and/or Typescript, with deep familiarity in Agentic AI orchestration libraries like LangChain, LlamaIndex, or LangGraph.
Experience with automated statistical evaluation to track model drift, latency, costs, and hallucination rates.
Hands-on experience developing advanced RAG pipelines, GraphRAG frameworks, and interacting with Graph Databases or vector indices.
Practical experience with autonomous agent protocols, multi-agent communication layers, or Model Context Protocol (MCP).
Preferred Qualifications
Understanding of secure data pipelines, including Role-Based Access Control (RBAC) and prompt injection mitigation.
Hands-on production experience utilizing Google Cloud Platform (GCP) services and infrastructure.
Strong knowledge of dat