Palo Alto Networks is pioneering the world’s most comprehensive AI security platform through Prisma AIRS—protecting complex ecosystems of AI models, applications, and agents from development through runtime.
We are building a brand-new initiative within the AIRS team focused on advancing state-of-the-art AI/ML infrastructure and high-performance, distributed backend systems. We are recruiting senior technical leaders to drive this architecture from the ground up.
The Role
As a senior technical leader on the AIRS team, you will operate at the intersection of machine learning, cloud security, and AI safety. You will design, build, and deploy high-performance infrastructure and autonomous ML solutions that actively classify threats, tune models, and prevent adversarial attacks at enterprise scale.
Key Responsibilities
Develop scalable anomaly detection pipelines to monitor cloud environments and AI agent actions, ensuring high efficacy with low false-positive and false-negative rates.
Lead SLM (Small Language Model) tuning initiatives, optimizing and fine-tuning models for low-latency, highly accurate edge-cloud security tasks.
Drive advanced data classification strategies, applying machine learning, NLP, and deep learning methods to massive structured and unstructured datasets to extract complex threat patterns.
Be a technical leader who partners closely with product, security, and cloud engineering teams to integrate these ML solutions seamlessly into production systems.
Qualifications
Education & Experience: MS or PhD in Computer Science, Artificial Intelligence, Machine Learning, Statistics, or a related field (or equivalent practical experience) with 8+ years of software engineering industry experience, including a minimum of 3 years dedicated to machine learning, NLP, or AI systems.
Programming & Frameworks: Deep programming expertise in Python and strong hands-on experience with deep learning frameworks such as PyTorch or TensorFlow.
Large/Small Language Models: Proven experience working directly with LLMs/SLMs, advanced prompt engineering, and model fine-tuning techniques.
Core ML Systems: Strong, demonstrated background in building and scaling auto-classification and anomaly detection models on massive, real-world datasets.
Additional Experience
Adversarial & Model Safety: Demonstrated knowledge of cybersecurity concepts and AI safety vulnerabilities (e.g., prompt injection defense, AI red-teaming, model security).
Models & Frameworks: Familiarity with DistilBERT and other open-source classification models.
Graph Architectures: Familiarity with large, graph-based datasets and processing techniques.
Cloud Infrastructure: Experience with distributed cloud systems (GCP or AWS) and deploying scalable ML inference pipelines at scale.
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.
$163,200.00 - $264,000.00/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
