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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr Staff AI-ML Data Scientist (ADEM) - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $141,000.0 - $228,075.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Computing Platforms, ARM Architecture, Automated Storage and Retrieval Systems, Big Data, BigQuery, Memory Management, Data Flow Control, Graph Database, Python (Programming Language), Network Troubleshooting, Machine Learning, Software Engineering, SQL Databases, Systems Integration, Large Language Models, Prompt Engineering, Model Validation, Generative AI, Backend, Information Technology, Palo Alto Networks, Data Pipelines, Microservices - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=79125508a48aa13f ## About the Role Do you have experience in Statistics?, Do you have a Bachelor's degree?, Your Experience * 5+ years in software engineering, with a track record of deploying production-grade ML, GenAI, or agentic workflows at scale. * Strong Python (for AI/ML) combined with professional Go or Java experience for backend microservices. * Hands-on experience with SQL, designing and restructuring BigQuery schemas, and building/managing scalable data pipelines using Dataflow, Google ADK and GKE * Solid understanding of retrieval systems (RAG), prompt engineering, model evaluation, and statistical modeling. * Ability to build platform-level services that integrate cleanly with adjacent ecosystems (e.g., Prisma Access, Cortex). * BS/MS in Computer Science, Data Science, Engineering, or a related field. * Knowledge of L3-L7 networking is desirable . ## Description Palo Alto Networks' ADEM group is seeking an accomplished Sr. Staff AI-ML / Data Scientist to serve as a principal technical anchor for our next-generation AIOps platform. In this role, you will bridge the gap between advanced AI research and production-grade backend software engineering, turning massive system telemetry into autonomous, self-healing capabilities. You will lead the technical design of intelligent, agentic workflows while simultaneously playing a pivotal role in our core backend rearchitecture. This role is ideal for a hands-on technical leader who thrives on building advanced reasoning systems, optimizing large-scale data foundations, and mentoring engineering teams to deliver planet-scale impact. Your Impact * Lead the design and implementation of ML/LLM/GenAI-powered agents capable of planning, multi-step execution, self-correction, and seamless collaboration with humans or other agents. * Build advanced reasoning pipelines, retrieval systems (RAG), and knowledge graph integrations that support autonomous task execution and network troubleshooting. * Build, fine-tune, or adapt LLMs, multimodal models, and specialized agent models. Successfully integrate traditional AI/ML and statistical models into these agentic workflows to handle complex endpoint telemetry. * Drive end-to-end solution development from prototype to production, ensuring maximum scalability, reliability, safety, observability, and performance. * Establish best practices for prompt design, agent memory management, tool usage, and context optimization within the agent ecosystem. * Continuously evaluate emerging agent frameworks, LLM tooling, and generative AI technologies to inform platform architecture and roadmap decisions. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Making Data Warehouses fast. 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