AI Data Engineer

Position: AI Data Engineer Location: Remote Language Requirements: Advanced English (required), Intermediate Spanish (desired) About the Role We are looking for an AI Data Engineer to support several initiatives within our Data Management team, focused on Artificial Intelligence, data processing, and cloud integration across our Amazon Web Services environments. In addition, this role will help design and implement a new enterprise data platform to support multiple business units, focused on building scalable capabilities for data ingestion, storage, and processing. The ideal candidate will have solid experience designing and deploying cloud-based data and AI architectures, as well as developing robust data pipelines and supporting modern analytics and AI workloads. Responsibilities Design and implement cloud data and AI architecture solutions on AWS. Develop and maintain data integration, ingestion, and transformation pipelines. Support the design and implementation of a new centralized data platform for enterprise data ingestion, storage, and processing. Manage structured and unstructured data, including vector and graph data administration. Collaborate with cross-functional teams to ensure data quality, security, and availability. Optimize data workflows and ensure scalability of deployed solutions. Main Technologies AWS Services: CloudFormation, S3, IAM, Glue, Athena, Synapse, Redshift, Lake Formation, SageMaker Data Processing: ETL/ELT frameworks, data pipelines, data lake management AI/ML Integration: vector databases, graph data models Additional ecosystem experience is highly valued, especially with tools such as Lake Formation, SageMaker, and platforms like Databricks . Requirements Proven experience in AWS Cloud data architecture and AI solutions. Strong knowledge of data integration, ingestion, and transformation tools. Experience building scalable data platforms for enterprise ingestion, storage, and processing use cases. Experience handling structured/unstructured, vector, and graph data. Familiarity with data governance and security best practices in AWS. Fluent in English (written and spoken). Spanish at an intermediate level is a plus.