Palo Alto Networks · 17 hours ago
Staff/Sr Staff AI Engineer Scientist
Santa Clara, CA
Full-time
Onsite
Senior Level, Lead/Staff
$145K/yr - $236K/yr
8+ years expPalo Alto Networks is committed to protecting our digital way of life through innovation and collaboration. They are seeking a Staff/Sr Staff AI Engineer/Scientist to lead the design and implementation of AI-powered solutions across various enterprise functions, ensuring scalability, security, and adherence to responsible AI principles.
Agentic AICloud SecurityCyber SecurityNetwork SecuritySecurity
No H1B
Responsibilities
Lead the design and implementation of AI solutions, translating business problems into AI designs, and managing model selection, data requirements, and integration for AI applications
Develop and implement core components of the enterprise AI/ML platform, ensuring scalability and security
Contribute to the lifecycle of traditional and Generative AI model deployment and real-time inference systems
Design and optimize large-scale AI/ML systems for performance, reliability, and developer-friendliness, focusing on low latency and high throughput in real-time AI applications
Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines
Lead POCs for emerging AI innovations
Champion design standards and best practices for AI systems, guiding junior engineers
Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
Ensure AI systems comply with responsible AI principles and security policies
Implement automated testing and monitoring
Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs
Qualification
Required
8+ years in software engineering, with 5+ years in Data science/AI/ML experience
Experience deploying enterprise AI/ML systems
Understanding of the AI lifecycle
Experience with distributed systems and streaming data
Hands-on experience with Generative AI and LLMs
Proficiency in AI/ML frameworks and cloud platforms
Strong programming skills (Python and C++)
Excellent communication skills
Masters/Bachelors degree in Computer Science or related field
Deep Technical Expertise: Strong foundation in machine learning (theory and application), deep learning, statistical modeling, and relevant programming languages (Python, R) and libraries (TensorFlow, PyTorch, scikit-learn)
Proven Research & Innovation: Track record of conceiving and executing novel research, publishing in top-tier conferences/journals, or delivering innovative AI solutions with significant business impact
System Design & Scalability: Ability to design, build, and deploy scalable and robust AI systems
Understanding of MLOps and data engineering principles
Problem Solving & Critical Thinking: Excellent analytical skills to tackle complex, ambiguous problems and break them down into manageable parts
Leadership & Mentorship: Experience in leading projects, guiding junior team members, and influencing technical direction
Communication & Collaboration: Ability to clearly communicate complex technical concepts to diverse audiences (technical and non-technical) and collaborate effectively with cross-functional teams
Business Acumen & Impact Focus: Understanding of how AI can drive business value and ability to translate research/technical work into tangible outcomes
Continuous Learning: Passion for staying up-to-date with the latest advancements in AI
Preferred
PhD degree in Computer Science, Applied Mathematics, Machine Learning or related computation field
Experience with open-source AI projects
Prior technical lead role for AI/ML projects
Familiarity with cybersecurity principles for AI
Benefits
Restricted stock units
Bonus
Company
Palo Alto Networks
Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$65MKey Investors
Icon VenturesLehman HoldingsGlobespan Capital Partners
2012-07-20IPO
2008-11-03Series C· $10M
2008-08-18Series C· $27M
Leadership Team
Helmut Reisinger
CEO EMEA
Nikesh Arora
Chairman CEO
Recent News
2026-01-22
The Motley Fool
2026-01-22
Company data provided by crunchbase