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Job Description Your Career 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. Our Mission & Our Team Our mission is to be the cybersecurity partner of choice, protecting our digital way of life. We are a company built on challenging and disrupting the way things are done, and we’re looking for innovators who are committed to shaping the future of cybersecurity. We value collaboration, integrity, inclusion, and continuous learning. Our teams work in-office with flexibility where needed, to foster problem-solving and trusted relationships. The team works within a high-tech cybersecurity context, striving to protect our customers and deliver impact through innovative solutions and collaboration. 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 deployment and real-time inference systems for traditional and Generative AI models. 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 proofs of concept 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 to foster 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 stay updated on Generative AI and LLM advancements. Qualifications
8+ years in software engineering, with 4+ years in AI/ML solutions or platform development. Hands-on experience 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 and end-to-end performance. Master's degree in Computer Science, Machine Learning, or related 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. Benefits / The Team / Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates offered at the posted level, the starting base salary is expected to be between $151000/YR - $246500/YR, with potential additional compensation such as restricted stock units and a bonus. A description of employee benefits may be found here. The team works within Information Technology at a high-tech cybersecurity company, with a focus on collaboration, learning, and impact. We are committed to providing reasonable accommodations for all qualified individuals and welcome inquiries at accommodations@paloaltonetworks.com. Our Commitment
We’re problem solvers who take risks and challenge cybersecurity’s status quo. We are committed to diversity and to providing an inclusive environment where all qualified applicants will be considered for employment regardless of protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes
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Job Description Your Career 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. Our Mission & Our Team Our mission is to be the cybersecurity partner of choice, protecting our digital way of life. We are a company built on challenging and disrupting the way things are done, and we’re looking for innovators who are committed to shaping the future of cybersecurity. We value collaboration, integrity, inclusion, and continuous learning. Our teams work in-office with flexibility where needed, to foster problem-solving and trusted relationships. The team works within a high-tech cybersecurity context, striving to protect our customers and deliver impact through innovative solutions and collaboration. 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 deployment and real-time inference systems for traditional and Generative AI models. 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 proofs of concept 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 to foster 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 stay updated on Generative AI and LLM advancements. Qualifications
8+ years in software engineering, with 4+ years in AI/ML solutions or platform development. Hands-on experience 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 and end-to-end performance. Master's degree in Computer Science, Machine Learning, or related 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. Benefits / The Team / Compensation
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates offered at the posted level, the starting base salary is expected to be between $151000/YR - $246500/YR, with potential additional compensation such as restricted stock units and a bonus. A description of employee benefits may be found here. The team works within Information Technology at a high-tech cybersecurity company, with a focus on collaboration, learning, and impact. We are committed to providing reasonable accommodations for all qualified individuals and welcome inquiries at accommodations@paloaltonetworks.com. Our Commitment
We’re problem solvers who take risks and challenge cybersecurity’s status quo. We are committed to diversity and to providing an inclusive environment where all qualified applicants will be considered for employment regardless of protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship?: Yes
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