Sony Interactive Entertainment
Technology
AIEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“AI Engineer at Sony Interactive Entertainment”
Industry & Context.
Full Job Description
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. Who we are: The Direct to Consumer (D2C) Data Science organisation comprises Data Science, Data Engineering and ML Engineering practices. D2C Data Science helps PlayStation grow and operate its digital business across commerce, subscriptions, payments, lifecycle experiences and player-facing services. We partner with product, engineering, finance, marketing and operations teams to turn experimentation, forecasting, AI and production-quality measurement into better player experiences. Role overview: Within D2C Data Science, the D2C ML Engineering team is seeking an AI Software Engineer to help design, build, and support production AI capabilities that solve high-value business problems across SPOC and the broader digital commerce ecosystem. This is not a model-training or predictive-platform ownership role; it is an applied AI engineering role focused on turning AI into dependable products, services, and automation. You will work with core engineering, operations, data, risk, and product partners to build AI-powered workflows that improve speed, quality, insight, and decision support. The work may include LLM-powered services, retrieval-augmented generation (RAG), agentic workflows, tool/function calling, evaluation harnesses, guardrails, and reusable AI platform c
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