AT&T

Lead Data/AI Engineering role focused on managing stakeholder relationships, translating business objectives into data manipulation requirements, and driving AI Technology platform strategy. The role involves providing thought leadership on AI/ML tooling for Data Science solutions including AI-Computer Vision, DVA, OCR, and AI-Knowledge Graph. Responsibilities include acquiring buy-in, ensuring integration of data science artifacts with software development, reviewing data science outputs for accuracy, presenting strategic visions, and mentoring colleagues. Experience with JVM-based languages, HDFS-based computing frameworks (Spark), Python, JavaScript, PySpark, AI-Knowledge Graph, AI-Computer Vision, Image Processing, OCR, and Big Data technologies (Databricks, Python, PySpark, SQL) is required.