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Staff AI Data Engineer

PlayStation Global·US·United States, Remote·senior
mlllmdata engineering
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Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We’re looking for a Staff AI Data Engineer to design and build the data infrastructure, pipelines, and services that power AI and machine learning workflows across PlayStation Studios. You’ll own systems that move, transform, organize, and serve data for LLM applications, agentic workflows, analytics, experimentation, and production AI services. This is a hands-on Staff-level engineering role spanning data engineering, backend systems, cloud infrastructure, and applied AI. You’ll work across the stack to build reliable data platforms and services, establish scalable architectural patterns, and help teams turn studio data into useful, production-ready AI capabilities. What You’ll Be Doing • Design, build, and own scalable data infrastructure supporting LLM, agentic, machine learning, analytics, and experimentation workflows. • Build and operate reliable batch and event-driven data pipelines for ingestion, transformation, enrichment, and delivery across varied studio data sources. • Develop ETL/ELT pipelines that feed data warehouses and curated datasets for analysts, analytics engineers, ML engineers, and downstream applications. • Design data models, APIs, and storage patterns that make structured and unstructured data easy to discover, access, and

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