Principal AI Engineer - Enterprise AI Solutions
About The Position
As a Principal AI Engineer for the Enterprise AI Platform on Palo Alto Networks’ Information Technology team, you will provide technical leadership and hands-on implementation of AI-powered solutions. You will bridge complex business problems and AI execution, using the Enterprise AI Platform to turn ambiguous problems into concrete solution designs and ensure successful deployment and measurable impact. The role involves designing and building enterprise-grade AI/ML applications and platforms, including traditional and generative AI systems, and collaborating with executive leadership, data science, engineering, and product stakeholders. The company describes its work model as primarily in-office full time, with flexibility when needed, to support collaboration and real-time problem-solving. The posted annual base salary range is $190,400 to $308,000. Compensation may also include restricted stock units and a bonus. The position is not eligible for immigration sponsorship.
Requirements
- Bachelor’s degree in a related field or equivalent military experience.
- 12+ years of related experience; alternatively, a master’s degree with 8 years of experience, or a Ph.D. with 5 years of experience.
- Proven expertise designing and building complex, enterprise-grade AI/ML platforms and applications.
- Hands-on experience with generative AI technologies, including large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI systems.
- Strong programming skills in Python, Java, or Go, and proficiency with modern AI/ML frameworks such as TensorFlow or PyTorch.
- Extensive hands-on experience with distributed systems architecture, streaming data platforms, and cloud AI/ML platforms such as GCP Vertex AI or AWS SageMaker.
Nice To Haves
- Master’s degree or Ph.D. in Computer Science, Machine Learning, or a related technical field.
- Experience contributing to open-source AI projects or publishing in top-tier AI conferences.
- Prior experience in technical consulting or solutions architecture, bridging technical teams and senior business stakeholders.
- Deep understanding of cybersecurity principles as they apply to AI systems.
Responsibilities
- Lead applied AI solution design and architecture, translating ambiguous business problems into concrete, actionable designs.
- Drive hands-on development and implementation of AI components for traditional and generative AI model development and deployment.
- Contribute to detailed designs for large-scale, distributed AI/ML systems, with attention to performance, reliability, and security.
- 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 AI/ML engineers, fostering engineering excellence and hands-on experimentation.
- Lead 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, secure AI application development across teams.
- Research and evaluate AI/ML techniques, algorithms, and models to identify opportunities for platform enhancement and new solutions.
Benefits
- Restricted stock units may be included in compensation.
- A bonus may be included in compensation.
- Employee benefits are referenced, but specific benefits are not listed in the description.
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What This Job Offers
Job Type
Full-time
Career Level
Principal
