Palo Alto Networks · 8 hours ago
Principal AI Engineer, Enterprise AI Platform
Palo Alto Networks is a leader in cybersecurity dedicated to protecting our digital way of life. The Principal AI Engineer for the Enterprise AI Platform will drive the design and implementation of AI-powered solutions, acting as a technical bridge between complex business problems and AI execution.
Agentic AICloud SecurityCyber SecurityNetwork SecuritySecurity
Responsibilities
Lead the applied AI solution design and architecture, breaking down ambiguous business problems into concrete, actionable AI solution designs
Drive the hands-on development and implementation of key AI components, supporting both traditional and Generative AI model development and deployment
Contribute significantly to the detailed design of large-scale, distributed AI/ML systems, ensuring performance, reliability, and security
Proactively collaborate with executive leadership, data science, engineering, and product stakeholders to translate business use-cases into scalable AI solutions
Provide technical leadership and mentorship to other AI/ML engineers, fostering a culture of engineering excellence and hands-on experimentation
Lead the implementation and continuous improvement of MLOps pipelines, including automated model training, versioning, deployment, and monitoring
Champion and enforce design standards, patterns, and best practices for scalable and secure development of AI applications across various teams
Actively research and evaluate cutting-edge AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solution development
Qualification
Required
Bachelor's degree in a related field or equivalent military experience required
12+ years of related experience, or a Master's degree with 8 years of experience, or a PhD with 5 years of experience
Proven expertise in designing and building complex, enterprise-grade AI/ML platforms and applications
Direct hands-on experience with Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI systems
Strong programming skills in languages such as Python, Java, or Go and proficiency in modern AI/ML frameworks (e.g., TensorFlow, PyTorch)
Extensive hands-on experience with distributed systems architecture, streaming data platforms, and cloud AI/ML platforms (e.g., GCP Vertex AI, AWS SageMaker)
Preferred
Master's degree or Ph.D. in Computer Science, Machine Learning, or a related technical field
Experience contributing to open-source AI projects or publications in top-tier AI conferences
Prior experience in a technical consulting or solutions architecture role, bridging technical teams and senior business stakeholders
Deep understanding of cybersecurity principles as they apply to AI systems
Benefits
Restricted stock units
Bonus
Company
Palo Alto Networks
Palo Alto Networks is a cybersecurity company that offers cybersecurity solutions for organizations.
H1B Sponsorship
Palo Alto Networks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (579)
2024 (482)
2023 (341)
2022 (452)
2021 (493)
2020 (235)
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
Recent News
2026-01-22
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2026-01-22
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