Senior Staff AI Engineer - Enterprise AI

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

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 Your Impact 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

Qualifications

Your Experience 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 Preferred Qualifications 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 The Ideal Candidate: You are a highly skilled and passionate AI engineer who thrives on solving challenging problems and building robust, impactful solutions. You are a natural technical leader and mentor, capable of driving significant technical initiatives from design to deployment and contributing to the overall excellence of the AI platform. You are eager to translate business needs into innovative AI solutions and contribute to the company's digital transformation.

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

$145,000.00 - $235,500.00/yr

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at  accommodations@paloaltonetworks.com.

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship?: Yes