Generative AI Engineer, Management Decision Support

This role is expected to join the AI agent development team for the management domain within the BR Digital Innovation Department. The department develops and implements digital technologies, including generative AI, to transform company-wide business processes. The role focuses on analyzing and forecasting management KPIs and developing technology that supports management decision-making.

Responsibilities include modeling the structure of management KPIs by identifying dependencies and leading indicators, integrating heterogeneous data sources, and creating KPI trees. The role also develops scenario analysis and forecasting capabilities, including predicting the effects of initiatives, quantitatively evaluating risk scenarios, and maintaining model interpretability. Other work includes designing agents that automatically collect industry trends, market information, and technology trends and provide relevant context for management decisions. The decision-support platform will automatically visualize analytical results, generate reports, and present integrated information needed for decisions. The role promotes the work end to end, from building data integration and analysis foundations through designing and implementing AI agents, while coordinating requirements with business departments and external partners and sharing design expertise with the team.

Required qualifications are at least two years of experience designing and developing systems that use AI or machine learning, application development experience with Python, and either experience improving operations or supporting decision-making through data analysis, or experience designing and developing business systems.

Preferred experience includes data analysis in management, supply chain, or cost analysis; combining statistical methods such as time-series analysis or simulation with generative AI; designing or building RAG systems or AI agents; leading business automation or improvement projects; and application development or environment setup in AWS or Azure. Candidates are expected to independently investigate and validate new technologies and methods, share findings with the team, and connect technology with solutions to business issues.

The position is a regular employee role based at the Daiba Development Center in Koto, Tokyo. Working hours are 8:30–17:30, although they may vary by plant or office. Some departments use a flextime system with no core hours and a standard eight-hour workday. Remote work, a work-from-home system, short-time working, and flexible working systems are available. Annual holidays total 121 days under the 2026 plan, with a five-day workweek, spring, summer, year-end and New Year holidays, ceremonial leave, long-service leave, and annual paid leave. At least eight days of paid leave are granted three months after joining, and the stated paid-leave utilization rate is 100%. Parental leave is available.

Compensation starts at a monthly salary of 339,800 JPY, with an estimated annual salary of 6.1–11.4 million JPY. Examples given are 6.6 million JPY at age 30, 7.6 million JPY at age 35, and 11.4 million JPY at age 40; these are estimates determined according to career and ability. Overtime pay is provided separately according to hours worked. Benefits include family, commuting and retirement allowances, company housing, training and qualification or self-development support, an employee stock ownership plan, nursing-care leave, a cafeteria, support for employee-contribution pension programs, company facilities, a resort membership, contracted sports facilities, an in-house childcare facility, defined-contribution pensions, and the Aisin corporate pension fund. Employment insurance, workers’ compensation insurance, employees’ pension insurance, and health insurance are provided. The office is entirely smoke-free, and interviews may be conducted online or in person; transportation expenses are paid for in-person interviews.