AI & Data Architect

JDSC

JavaScript

TypeScript

Python

SQL

About this role

This full-time role combines AI agent development with data platform and MLOps engineering. The engineer leads customer business transformation through technology and works with business consultants, technology consultants, and data scientists.

Responsibilities include shaping AI agent concepts, developing proof-of-concepts, and advancing agile development. The role also covers continuous improvement and operation of AI agents as customer business environments change. Additional responsibilities include designing, developing, and operating data pipelines and data platforms such as data warehouses, building and maintaining MLOps environments, and operating CI/CD pipelines. Work may also include development, communication, and business initiatives in adjacent software areas.

The stated development environment includes TypeScript, JavaScript, SQL, and Python. Named frameworks and technologies include GraphQL, Node.js, and Prisma. Databases and data platforms include MySQL, PostgreSQL, BigQuery, Databricks, and Microsoft Fabric. Cloud and related environments include Google Cloud, AWS, Azure, and Snowflake. Software management tools include GitHub, Jira, Slack, and Confluence, while business intelligence tools include Power BI and Tableau.

Projects support B2B digital transformation and AI implementation across areas including logistics, healthcare, energy, and manufacturing. Project stages range from prototype and experimentation, to production systems used in customer operations, to development and operation similar to vertical SaaS used broadly within a specific domain. The role can therefore involve varied software development connected with business and data science contexts, as well as architecture design for solving business problems rather than only pipeline construction.

The posting states that support is available for certification, book purchases, and unlimited access to O'Reilly Online. Software-tool assistance includes advanced AI tools such as ChatGPT and Claude Code. It also describes opportunities to build skills in strategy consulting and data science, together with flextime and childcare-leave systems. The work location is in Koishikawa, Bunkyo-ku, Tokyo.

This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.