Senior Engineering Manager

Our Mission At Palo Alto Networks® everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us everyday - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. This includes our FLEXBenefits wellbeing spending account with over 1,000 eligible items selected by employees, our mental and financial health resources, and our personalized learning opportunities - just to name a few At Palo Alto Networks, we believe in the power of collaboration and value in-person interactions. This is why our employees generally work full time from our office with flexibility offered where needed. This setup fosters casual conversations, problem-solving, and trusted relationships. Our goal is to create an environment where we all win with precision. Job Description Your Career As the Senior AI Engineering Manager, you will lead a talented team of 8 AI/ML engineers and data scientists based in India. You will be a critical leader within our global AI Enterprise Team, responsible for driving the technical vision, execution, and delivery of AI-powered solutions across Palo Alto Networks. This is a hands-on leadership role where you will blend your deep technical expertise with your passion for mentoring and growing high-performing teams. You will partner closely with product managers, business stakeholders, and other engineering leaders to define the roadmap and deliver transformative AI initiatives. Your leadership will directly contribute to scaling our AI capabilities and embedding intelligence into the core of our business operations. Your Impact Lead and Mentor: Manage and grow a team of 8 direct reports, fostering a culture of innovation, collaboration, and engineering excellence. Provide technical guidance, career development, and mentorship. 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 Your Experience 10+ 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 and libraries (e.g., TensorFlow, PyTorch, Scikit-learn) and programming languages (e.g., Python). Experience with MLOps principles and tools for building and deploying models at scale (e.g., Kubeflow, MLflow, Vertex AI, or similar platforms). Familiarity with cloud platforms (GCP, AWS, or Azure) and data engineering technologies (e.g., BigQuery, Spark, Kafka). Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to both technical and non-technical audiences. Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field Additional Information The Team The AI Enterprise Team is a center of excellence within IT, dedicated to harnessing the power of artificial intelligence and machine learning to revolutionize our internal operations and enhance business outcomes. We build, deploy, and manage intelligent systems that automate processes, provide predictive insights, and create a more efficient, secure, and data-driven organization. We are a dynamic, forward-thinking team that thrives on solving complex challenges and delivering high-impact solutions. Our Commitment We’re problem solvers that 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.