Principal AI Tooling 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. Key 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 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 Knowledge of data structures, algorithms, and software design principles 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 Key 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 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. $147,000.00 - $237,500.00/yr Equal Opportunity Employment 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 View email address on click.appcast.io. 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. Immigration Sponsorship Role eligible for Immigration Sponsorship: Yes #J-18808-Ljbffr