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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Principal AI Engineer - Enterprise AI Solutions - **Company:** Palo Alto Networks - **Location:** Santa Clara, CA, United States - **Experience:** Expert - **Salary:** $185,200.0 - $299,475.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Cloud Computing, Computer Programming, Distributed Systems, Python (Programming Language), Machine Learning, Open Source Technology, Systems Development Life Cycle, Tensorflow, Azure Machine Learning, Data Streaming, Management of Software Versions, Pytorch, Large Language Models, Generative AI, AI Platforms, Information Technology, Machine Learning Operations - **Published:** June 10, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=06bfdb00bc9c91f9 ## About the Role Do you have experience in System design for system development?, Do you have a Master's degree?, * 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 Qualifications * 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. ## Description As a Principal AI Engineer for the Enterprise AI Platform, you will be a pivotal technical leader driving the design and hands-on implementation of AI-powered solutions. You will operate where AI innovation, top-tier engineering, and business outcomes converge, acting as the technical bridge between complex business problems and cutting-edge AI execution. Leveraging our robust Enterprise AI Platform, you will translate ambiguous problems into concrete AI solution designs and ensure their successful deployment and measurable impact., * 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. ## Related Videos - [Beyond GPT: Building Unified GenAI Platforms for the Enterprise of Tomorrow](https://www.wearedevelopers.com/videos/1525-beyond-gpt-building-unified-genai-platforms-for-the-enterprise-of-tomorrow) - [This App Reached 10,000 Users in One Week. Here's How.](https://www.wearedevelopers.com/videos/100329-this-app-reached-10-000-users-in-one-week-here-s-how) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [From AI Assistance to Agentic Systems: Scaling Sovereign AI in Banking](https://www.wearedevelopers.com/videos/100070-from-ai-assistance-to-agentic-systems-scaling-sovereign-ai-in-banking) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)