AI Data Engineer

Responsibilities Design and develop AI‑enabled analytics solutions supporting enterprise reporting, forecasting, operational insights, and intelligent decision‑making. Support enterprise AI initiatives including: Generative AI integrations, AI‑assisted analytics, Natural language reporting, Predictive analytics, recommendation and insight generation capabilities. Develop reusable analytics frameworks and scalable data products supporting enterprise reporting and AI use cases. Identify opportunities to leverage AI capabilities to improve reporting development efficiency and business insight generation. Design and implement AI‑driven solutions that proactively identify data anomalies, schema changes, integration failures, reporting inconsistencies, and data quality issues across enterprise platforms. Develop intelligent monitoring and alerting frameworks that detect abnormal data patterns, missing data, volume fluctuations, and KPI deviations before impacting business operations. Create AI‑enabled solutions that proactively analyze upstream system and schema changes to identify potential downstream reporting and integration impacts. Collaborate with governance and architecture teams to establish standards for responsible AI usage within analytics and reporting ecosystems. Requirements Bachelor's degree in Computer Science or related field 5+ years related experience #J-18808-Ljbffr