AI Application Engineer

Arize AI is dedicated to helping customers navigate the complexities of artificial intelligence and machine learning model performance. Many organizations invest heavily in developing AI models, only to find that their real-world performance is difficult to track, understand, and improve. Our customers face challenges such as model drift, where a model's predictive accuracy degrades over time due to changes in data; data quality issues that can silently corrupt model inputs and outputs; and the 'black box' nature of many AI systems, making it hard to diagnose why a model is making certain predictions or behaving unexpectedly. These challenges can lead to poor business outcomes, loss of customer trust, and inefficient use of resources.

To address these critical pain points, Arize AI provides a comprehensive AI observability and LLM evaluation platform. We empower AI engineers, data scientists, and ML practitioners to surface model issues quickly, trace them to their root cause, and ultimately, improve model performance and reliability. Our platform offers real-time monitoring, automated drift detection, explainability tools, and robust analytics to provide a clear view into how models are behaving in production. By offering a centralized inference store and connecting offline training and validation data with online production data, we enable teams to proactively identify and resolve issues before they significantly impact business operations. Whether our customers are working with traditional machine learning models, large language models (LLMs), or complex AI agents, Arize AI offers the tools and insights needed to ensure their AI initiatives are successful, transparent, and deliver tangible value. We are committed to fostering a future where AI works effectively and responsibly for everyone.