Sr Staff AI-ML Data Scientist (ADEM)

Palo Alto Networks
Santa Clara, United States of America
31 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 228K

Job location

Santa Clara, United States of America

Tech stack

Java
Artificial Intelligence
Computing Platforms
ARM
Automated Storage and Retrieval Systems
Big Data
Google BigQuery
Memory Management
Data Flow Control
Graph Database
Python
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

Job 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.

Requirements

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 .

Benefits & conditions

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$141,000.00 - $228,075.00/yr

Our Commitment

We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together.

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