Revolutionierender Schutz.

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 Description

Job Summary As the Senior AI Engineering Manager, you will lead a team of AI/ML engineers and data scientists to drive the technical vision and delivery of AI-powered solutions across Palo Alto Networks. In this hands-on leadership role, you will blend deep technical expertise with a passion for mentoring high-performing teams. You will partner with cross-functional leaders to define the roadmap for transformative AI initiatives, directly contributing to scaling our AI capabilities and embedding intelligence into our core business operations. Key Responsibilities Lead and Mentor: Manage and grow a team of direct reports, fostering a culture of innovation, collaboration, and engineering excellence while providing technical guidance and career development. Drive Technical Strategy: Define the technical roadmap and architecture for enterprise AI solutions, ensuring they are scalable, reliable, and aligned with business goals. Execute and Deliver: Oversee the end-to-end lifecycle of AI/ML projects, from ideation and model development to deployment and operational support in a fast-paced, agile environment. Collaborate and Influence: Work cross-functionally with teams across IT and the business to identify opportunities for AI, gather requirements, and ensure successful adoption of your team’s solutions. Champion Best Practices: Establish and promote best practices for MLOps, data governance, model validation, and the ethical use of AI.

Qualifications (Additional Job Description) 

Required Qualifications Bachelor’s degree in Computer Science, Engineering, or a related technical field. 15+ years of experience in software engineering, with at least 5 years in the AI/ML space. 3+ years of formal people management experience with a proven track record of building and leading high-performing engineering teams. Strong technical background in machine learning, including experience with deep learning, NLP, predictive modeling, and data science. Proficiency with common AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python). Preferred Qualifications Master’s degree in Computer Science, Engineering, or a related technical field. Experience with MLOps principles and tools for building and deploying models at scale (e.g., Kubeflow, MLflow, Vertex AI). Familiarity with cloud platforms (GCP, AWS, or Azure) and data engineering technologies (e.g., BigQuery, Spark, Kafka). Excellent communication skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences.

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? No. Please note that we will not sponsor applicants for work visas for this position.