Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
About this role
This data engineering role sits within SoftBank’s Corporate Business division, in the Data & AI Integration organization of the System Integration headquarters. It supports enterprise customers by applying CDP, cloud technologies, data integration platforms, and web application development to digital transformation and operational improvement projects.
The engineer leads proposals, requirements definition, design, implementation, testing, and deployment for customer systems. Work includes developing web applications and data platforms, including generative AI use cases, ETL processing, and data integration environments. The role also covers project management, partner coordination, customer negotiations, quality and risk management, troubleshooting, and preparation of proposals, design documents, plans, and test specifications. Named platforms and technologies include Treasure Data CDP, Databricks, Microsoft Fabric, Google BigQuery, Snowflake, Oracle AI Data Platform, cloud infrastructure, databases, Hadoop, and Spark.
Applicants must have at least five years of practical experience in corporate system development, technical support, and project management. Required experience includes designing or implementing CDP or data platforms, developing mobile or web applications, evaluating system quality across development processes, and designing or building architectures involving servers, middleware, IaaS or PaaS, and databases.
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