Principal AI Engineer — Enterprise AI Platform

Jobs Paloaltonetworks; United States; On-site; USD 190,000 - 308,000; Full time

Job summary

Palo Alto Networks is seeking a Principal AI Engineer for the Enterprise AI Platform. You will drive design and hands-on implementation of AI-powered solutions, bridging complex business problems with cutting-edge AI execution.

Leverage the Enterprise AI Platform to translate use-cases into scalable AI deployments with measurable impact. Drive architecture, mentor engineers, and lead MLOps pipelines across distributed AI/ML systems, ensuring security, reliability and performance.

Qualifications

• Bachelor's degree or equivalent military experience in a related field.
• 12+ years of experience, or an MS with 8+ years, or PhD with 5+ years.
• Proven expertise designing and building enterprise AI/ML platforms.
• Hands-on with Generative AI tech including LLMs, RAG, and agentic AI.
• Strong coding skills in Python/Java/Go; experience with TF/PyTorch.
• Experience with distributed systems, streaming data, and cloud AI/ML platforms.

Responsibilities

• Lead the design and architecture of applied AI solutions for complex problems.
• Hands-on development of key AI components for traditional and GenAI models.
• Contribute to large-scale, distributed AI/ML systems for performance and security.
• Collaborate with leadership and stakeholders to translate use-cases into scalable AI.
• Provide mentorship to AI/ML engineers and foster engineering excellence.
• Lead MLOps pipelines, including training, versioning, deployment, and monitoring.

Skills

Enterprise AI/ML platforms

Generative AI (LLMs, RAG)

Python/Java/Go

Distributed systems / data streaming

Cloud AI/ML platforms (Vertex AI, Sage

Education

Bachelor's degree in related field

Advanced degree (MS/PhD) in CS/ML

Tools

TensorFlow

PyTorch

GCP Vertex AI

AWS SageMaker

Job description

Palo Alto Networks is seeking a Principal AI Engineer for the Enterprise AI Platform. You will drive design and hands-on implementation of AI-powered solutions, bridging complex business problems with cutting-edge AI execution.

Leverage the Enterprise AI Platform to translate use-cases into scalable AI deployments with measurable impact. Drive architecture, mentor engineers, and lead MLOps pipelines across distributed AI/ML systems, ensuring security, reliability and performance.