Senior Staff AI Engineer

Palo Alto Networks • Santa Clara, CA

6d • Onsite

About The Position

As a Senior Staff AI Engineer for Enterprise AI Solutions, you will be a critical technical leader responsible for the hands-on design, development, and implementation of AI-powered solutions that solve challenging business problems across IT and various enterprise functions (Sales, Marketing, Finance, HR, Legal, etc.). You will work closely with Principal and Distinguished Architects to translate high-level strategies into concrete AI solution designs and robust, scalable, and ethical implementations. This role demands deep technical expertise, a strong ability to solve complex problems, and a commitment to mentoring other engineers, leveraging our Enterprise AI Platform to deliver measurable business impact

Requirements

• 8+ years in software engineering, with 4+ years in AI/ML solutions or platform development
• Hands-on expertise in building and deploying enterprise-grade AI/ML systems
• Understanding of the AI lifecycle: data, training, evaluation, deployment, and monitoring
• Experience with distributed systems, streaming data, data lakes, and real-time decision engines
• Generative AI & LLMs: Experience with LLMs, multi-modal models, RAGs, and agentic AI systems
• Proficiency in AI/ML frameworks (TensorFlow, PyTorch) and cloud platforms (AWS SageMaker, Google Cloud AI, Azure ML)
• Strong programming skills (Python, Java, Go)
• Excellent communication skills
• Bachelor's or Master's degree in Computer Science or related field
• System-level thinking: Understanding and optimizing distributed AI architectures
• System-Level Thinking: Demonstrated ability to think at a system level, understanding complex interdependencies within distributed AI architectures and optimizing end-to-end performance

Nice To Haves

• Master's degree in Computer Science, Machine Learning, or a related technical field or equivalent military experience required
• Experience contributing to open-source AI projects
• Prior experience in a technical lead role for AI/ML projects
• Familiarity with cybersecurity principles as they apply to AI systems

Responsibilities

• AI Solution Implementation: 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
• Platform Development: 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
• System Optimization: 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
• Technology Adoption: Evaluate and integrate new AI tools, frameworks, and cloud solutions, aligning with architectural guidelines. Lead POCs for emerging AI innovations
• Architectural Best Practices: Champion design standards and best practices for AI systems, guiding junior engineers
• Technical Leadership: Mentor AI/ML engineers, lead design discussions, and perform code reviews, fostering engineering excellence
• Cross-Functional Collaboration: Partner with Data Scientists, ML Engineers, Product Managers, and IT stakeholders to develop production-grade AI solutions
• Responsible AI & Quality: Ensure AI systems comply with responsible AI principles and security policies. Implement automated testing and monitoring
• Innovation & Research: Apply cutting-edge AI/ML techniques to solve problems and improve solutions, staying updated on advancements in Generative AI and LLMs

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees