Principal AI Tool Engineer for Software Automation/Testing

About Us

At Palo Alto Networks, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have.

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Responsibilities

• Design and develop testing frameworks for AI/ML models and LLM applications
• Build automated pipelines for model validation, regression testing, and benchmarking
• Create evaluation datasets, synthetic data, and test scenarios for edge cases
• Implement metrics to assess accuracy, robustness, latency, and safety
• Develop tools for prompt testing, output validation, and hallucination detection
• Collaborate with engineers and product teams to define test strategies
• Monitor model performance in production and build alerting systems
• Ensure compliance with ethical AI standards, fairness, and bias testing
• Debug model behavior and identify root causes of failures

Skills

• Analytical thinking and problem-solving
• Attention to detail and quality-focused mindset
• Strong collaboration and communication skills
• Ability to design scalable and reusable testing systems

Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related field
• 8+ years of experience in software engineering, QA automation, or ML engineering
• Strong programming skills in Python (preferred) or similar languages
• Experience with testing frameworks (e.g., PyTest, unittest)
• Familiarity with machine learning concepts and model evaluation techniques
• Experience working with APIs, distributed systems, and CI/CD pipelines

Preferred Qualifications

• Experience with LLMs and prompt engineering
• Familiarity with evaluation tools like LangChain, OpenAI Evals, or similar frameworks
• Knowledge of AI safety, bias detection, and adversarial testing
• Experience with cloud platforms (AWS, GCP, and Azure)
• Understanding of observability tools and monitoring systems
• Exposure to synthetic data generation and simulation environments

Pay

The starting base salary for this position is expected to be in the range of $147,000 - $237,500 per year, depending on qualifications, experience, and work location. The offered compensation may also include restricted stock units and a bonus.

Benefits

A description of our employee benefits may be found here.