Sr Principal AI-Data Scientist (ADEM)
Job
Palo Alto Networks
Santa Clara, CA (In Person)
$242,337 Salary, Full-Time
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Job Description
- Our Mission
- At Palo Alto Networks®, we're united by a shared mission—to protect our digital way of life.
- Who We Are
- In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry.
- Job Summary
- The ADEM engineering team is the engine of innovation at Palo Alto Networks.
Your Career:
- We are seeking a visionary Senior Principal AI / Data Scientist to join our Autonomous Digital Experience Management (ADEM) team.
- Key Responsibilities
- AI/ML Architecture & Agentic Workflows
- +
Drive Gen AI Innovation:
Design, architect, and implement production-ready "Agentic" Root Cause Analysis (RCA) systems to automate complex network troubleshooting, reducing IT admin diagnosis time from 30+ minutes to under a minute. +End-to-End ML Development:
Own the full ML lifecycle from Exploratory Data Analysis (EDA) and rapid Proof-of-Concepts (PoCs) to deploying scalable ML baselines and intelligent alerting systems for diverse network segments. +System Design & Microservices:
Develop high-performance, independent AI-powered microservices (e.g., domain-based application classification) from initial PM requirements to fully scalable production services.- Data Engineering & Big Data Optimization
- +
Data Pipeline Mastery:
Build, optimize, and maintain complex data pipelines utilizing Google Cloud Dataflow and BigQuery. +Query Optimization:
Audit and optimize heavy BigQuery queries to eliminate latency, drastically improving UI responsiveness and underlying data processing costs. +Cross-Tenant Analytics:
Architect secure, privacy-compliant solutions to detect widespread network or ISP issues by correlating cross-tenant ML baseline scores.- Technical Leadership & Cross-Functional Collaboration
- +
Roadmap Definition:
Partner closely with Product Management (PM) to define and champion the 6-12 month AI roadmap, co-developing business cases with clear ROI (e.g., faster MTTR, support deflection). +Code Quality & Infrastructure:
Act as the technical anchor for the team. Review code, establish best practices, improve infrastructure documentation, and "shift-left" on regression testing to improve velocity. +Customer-Centric Engineering:
Proactively engage with Sales Engineers, Support, and UX teams to understand customer pain points deeply and translate them into highly accurate technical requirements.- Qualifications
- Required Qualifications
- +
Advanced AI/ML Expertise:
Proven track record of putting ML models and Generative AI (LLMs, RAG architectures, Agentic workflows) into production. +Software Engineering & Coding:
Strong, hands-on programming experience. Proficiency in Python and familiarity with Java are required; additional experience with Go is a strong plus. +Big Data & Cloud Infrastructure:
Deep expertise in BigQuery and Dataflow. Experience negotiating and implementing secure cloud infrastructure (e.g., workload identity, SRE best practices). +Systems Thinking:
Ability to design platform-level services with a holistic view, enabling integrations across a wider ecosystem (e.g., Cortex, Prisma Access). +Business Acumen:
Demonstrated ability to bridge the gap between deep technical implementation and tangible business value/sales growth. + BS/MS/PhD in Computer Science or a related technical field, or equivalent high-level professional experience.- Preferred Qualifications
- + Domain knowledge in networking (ISPs, Firewalls, Application Identification, Gateways, Telemetry). + An interest in or prior exposure to filing patents or publishing novel AI/ML research is a bonus. + Familiarity with leveraging AI coding assistants (like Claude Code) to accelerate technical decision-making, benchmark languages, and generate complex architectural documentation.
- Compensation Disclosure
- The compensation offered for this position will depend on qualifications, experience, and work location.
- Our Commitment
- We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo.
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