Lead AI strategy and business-model transformation for major enterprises, align C-suite stakeholders, design AI CoEs, and guide strategy through implementation with executive leadership.
About this role
The AI Engineer will structure ambiguous client challenges by understanding business operations and data, break them into issues suitable for AI, propose technically feasible approaches, and define conditions for success.
Responsibilities include data preprocessing, feature design, model development, evaluation-metric design and validation, and code preparation that considers reproducibility and maintainability from proof of concept through implementation. The role also reports technical progress in regular client meetings, organizes issues, proposes next steps, explains progress and model behavior to non-engineers, supports decision-making, and participates in requirements definition and agreement on evaluation criteria.
The engineer works with project members to design architectures, determine technical policies, and make technical proposals that maximize project value. New graduates initially join projects with support from senior employees and build capabilities progressively through their work.
Applicants are expected to graduate from a four-year university or complete graduate school by March 2028. Programming experience with Python or a similar language is required. Experience implementing image processing, machine learning, or deep learning with libraries or frameworks is welcomed, including semantic segmentation and object detection models. Knowledge of linear algebra, calculus, and statistics, along with basic system development knowledge in on-premises and cloud environments, is also welcomed. Applicants may be asked to submit implementation code, such as GitHub projects, or Kaggle results for review.
Projects cover generative AI including multimodal models, image analysis, satellite-data analysis, manufacturing DX, and other industrial or social challenges. The work spans problem design, system development, and operational adoption. The position is based in Otemachi, Chiyoda-ku, Tokyo. Working hours are governed by a discretionary work system with eight hours per day; during the probationary period, a flextime system applies. Telework can be discussed depending on the department and work frequency.
The employment is full-time and permanent. Monthly pay is JPY 300,000 to 350,000, including a deemed 45 hours of overtime; excess overtime is paid separately. The theoretical annual income is approximately JPY 4 million. Salary is reviewed annually, and bonuses are paid twice a year. Benefits include transportation allowance, social insurance, paid leave, career and learning support, expense coverage for books and necessary equipment, healthcare support, buddy support, and casual clothing at work.
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