Senior AI Engineer with Spark, AWS Services

This position involves constructing and sustaining data pipelines that support artificial intelligence and generative AI applications. The primary focus is on managing risk-based quality management processes within clinical trial settings. Daily tasks center on handling document ingestion for retrieval-augmented generation systems, creating vector indexes, and developing data APIs specifically for AI-driven tools. The role requires strong expertise in Apache Spark and various Amazon Web Services. Candidates must demonstrate proficiency in building robust data infrastructure for these specific AI use cases. The job title indicates a senior level of responsibility, implying significant prior experience in similar engineering roles. No specific academic qualifications or language requirements are mentioned in the provided text. The working arrangement is fully remote, allowing the engineer to operate from a location of their choice. This opportunity is suitable for experienced engineers who specialize in data engineering and have a strong background in cloud-based AI infrastructure. The position is part of a production pod dedicated to quality management within a larger program. It is a full-time role offered by EPAM Systems LLC.