Senior Engineering Manager ( AI Enterprise Solutions Bengaluru, India

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.

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 FLEX Benefits 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.

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.

• 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.

• 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., Tensor Flow, PyTorch, Scikit‑learn) and programming languages (e.g., Python).

• 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.,…