Staff Engineer Software AI Customer Co-pilot

Your Career

We are seeking a Staff AI Engineer to join our growing team and contribute to the development and optimization of cuttingedge AI technologies including Large Language Models (LLMs). In this role you will work closely with technical teams to develop impactful AIdriven solutions that enhance our cybersecurity capabilities. This is a great opportunity for an experienced engineer to grow in an innovative environment and make significant contributions to the field of AI in cybersecurity.

Your Impact

• Develop & Optimize AI Models: Contribute to the design finetuning and optimization of AI models including large language models (LLMs) for use in cybersecurity applications.

• Model Evaluation: Participate in the evaluation of model performance ensuring models meet business requirements and performance standards.

• AI Technology Integration: Assist in integrating advanced AI technologies like RetrievalAugmented Generation (RAG) function calling and code interpreters into our existing systems.

• Research & Learning: Keep up to date with the latest advancements in AI and machine learning to incorporate best practices into product development.

• Model Training: Work with data and model parallel training techniques to efficiently manage largescale models.

• Collaboration: Collaborate with ML engineers data scientists and product teams to ensure seamless integration of AI technologies and alignment with product goals.

• Documentation & Communication: Contribute to documenting AI models and methodologies and communicate technical findings clearly to both technical and nontechnical stakeholders.

• AI Solutions Delivery: Assist in the design testing and deployment of scalable machine learning models and pipelines for batch and realtime applications.

Qualifications :

Your Experience 

• Education: Bachelors degree in Computer Science Engineering or a related field.

• Experience: 1 years of handson experience in AI machine learning or data science.

• Programming: Proficiency in Python (or Go).

• AI Model Experience: Experience working with large language models (e.g. Open AI LLAMA GEMINI) or similar AI technologies.

• Deep Learning: Familiarity with deep learning techniques and frameworks.

• ML Deployment: Experience in building testing and deploying machine learning models especially large language models.

• Cloud & Distributed Computing: Familiarity with cloudbased infrastructure Google Cloud Platform (GCP)

• MLOps: Experience with DevOps/MLOps practices for machine learning development and deployment.

• Problem Solving: Strong analytical and troubleshooting skills for AI model optimization.

• Communication: Effective communication skills to collaborate across teams and convey technical concepts clearly.

Preferred Skills & Experience

• Cybersecurity Exposure: Experience working in the cybersecurity domain.

• Advanced Degree: Masters degree or higher in Computer Science AI or a related field.

• GenAI Framework: Familiarity with Generative AI (GenAI) solutions including experience with RAG frameworks.

• AI Agent Systems: Experience in developing AI agentbased applications and solutions.

Additional Information :

The Team

Our engineering team is at the core of our products connected directly to the mission of preventing cyberattacks. We are constantly innovating challenging the way we and the industry think about cybersecurity. Our engineers dont shy away from building products to solve problems no one has pursued before.

We define the industry instead of waiting for directions. We need individuals who feel comfortable in ambiguity excited by the prospect of a challenge and empowered by the unknown risks facing our everyday lives that are only enabled by a secure digital environment.

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 nonsales roles) or base salary commission target (for sales/commissioned roles) is expected to be between $100000 $120000/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.

Our Commitment

Were problem solvers that take risks and challenge cybersecuritys status quo. Its simple: we cant 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  .

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