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 Summary

We are seeking a Principal AI Engineer to spearhead the technical vision, architecture, and development of our next-generation autonomous AI Agents. In this high-impact role, you will build goal-driven agents capable of complex reasoning, planning, and learning for our Customer Experience and Go-To-Market workflows. As a key technical leader, you will shape our company-wide agentic AI strategy and partner with cross-functional leaders to drive the future of AI at our company.

Key Responsibilities

• Lead the end-to-end design, architecture, and implementation of autonomous AI agents capable of multi-step reasoning, planning, and self-correction.
• Define and govern the architectural blueprint for scalable, enterprise-grade AI/ML and agentic systems, ensuring alignment with our GenAI strategy.
• Develop, fine-tune, and deploy large language models (LLMs), multimodal models, and specialized agent models for CX and GTM workflows.
• Engineer advanced reasoning pipelines, retrieval-augmented generation (RAG) systems, and knowledge graph integrations to empower autonomous task execution.
• Drive the full solution lifecycle from prototype to production, ensuring scalability, reliability, safety, and high performance of all AI components.
• Proactively collaborate with data engineering and domain experts to design high-quality datasets and continuous learning feedback loops, ensuring alignment on shared objectives.
• Mentor and empower data scientists and engineers, establishing and championing best practices for AI/ML development across the organization.
• Communicate complex technical decisions, trade-offs, and strategic recommendations to executive and cross-functional stakeholders.

Required Qualifications

• Master's degree with 12 years of related experience, or PhD with 8 years of related experience, in Computer Science, AI, Data Science, or a similar technical field.
• Deep expertise in building and deploying production-grade AI/ML systems using LLMs, RAG, and agent frameworks (e.g., LangChain, LangGraph).
• Significant hands-on experience building production systems involving ML models, LLM inference, fine-tuning, and multi-step reasoning.
• Strong proficiency in at least one core programming language (Python, Go, or Java) and expert-level SQL skills.
• Proven experience architecting large-scale distributed systems and microservice architectures on cloud platforms (AWS, Azure, or GCP).

Preferred Qualifications

• Experience building AI solutions for Customer Experience (CX) or Go-To-Market (GTM) functions.
• Demonstrated ability to lead high-ambiguity, cross-functional technical initiatives from concept to completion.
• Up-to-date knowledge of the latest SOTA model capabilities and their evolution (e.g., GPT, Anthropic, Llama models).
• Excellent communication and influencing skills, with the ability to articulate complex technical concepts to diverse audiences at all levels.

The Team

Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks.

We’re connected by one mission but driven by the impact of that mission and what it means to protect our way of life in the digital age. Join a dynamic and fast-paced team of people who feel excited by the prospect of a challenge and feel a thrill at resolving technical gaps that inhibit productivity.

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  [email protected].

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.