Principal Tools, Automation & Testing Engineer
About The Position
Our Mission 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. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! 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.
Requirements
- 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
Nice To Haves
- 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
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
Benefits
- A description of our employee benefits may be found here.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Principal
