Principal Tools, Automation & Testing Engineer

Job Summary

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.

• 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

• 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
• Knowledge of data structures, algorithms, and software design principles

• Experience with LLMs and prompt engineering
• Familiarity with evaluation tools like Lang Chain, 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

$ - $/yr

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

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.