Identify opportunities in reliability processes (e.g., predictive modeling, anomaly detection); define problems, develop prompts/workflows using LLMs or generative AI, evaluate outputs, monitor performance, provide go-live support, and create operational protocols—partnering with software engineering to define implementation direction while maintaining ownership of outcomes. Collaborate with production, design, reliability, and software teams to define data requirements for emerging use cases, such as integrating build data with flight test results, and develop automation scripts to mitigate risks, streamline reporting, and enhance efficiencies.