Department Overview
This division specializes in AI, cloud computing, data platforms, and core digital transformation technologies. The team delivers comprehensive digital transformation solutions, covering strategy and advisory services, system development, and long-term operations and maintenance.
The organization follows an AI-first philosophy and encourages collaboration across business units, as well as cross-functional skill development. This structure enables the delivery of large-scale enterprise systems that embed AI into business operations and corporate IT environments.
Project Overview
This role supports a large, long-term engagement with a major enterprise client in the construction industry. The project focuses on maintaining and operating enterprise data infrastructure and multiple business applications, while expanding AI adoption—particularly in the area of generative AI.
You will collaborate directly with client stakeholders to define effective AI use strategies and design AI-driven solutions. The responsibilities span the entire lifecycle, including proof of concept, deployment, enhancement, and ongoing operational support.
Project Structure
Data Infrastructure Operations Team: 20 members (4 domestic, 16 offshore)
Application Operations and Maintenance Team: 13 members (5 domestic, 8 offshore)
AI Enablement Team: 4 members (2 domestic, 2 offshore)
Including related support functions, the overall project team consists of approximately 50 members.
Role Highlights
Opportunity to work within a hybrid global delivery model alongside multinational teams
Exposure to a broad range of enterprise systems, providing insight into large-scale corporate IT environments
Direct client engagement as a primary vendor, enabling involvement in strategic discussions and decision-making processes
Key Responsibilities
AI Model Development
Design and develop AI, machine learning, and deep learning models
Conduct data preprocessing tasks such as cleansing and feature engineering
Train, evaluate, and optimize models to enhance accuracy and performance
Implementation and System Integration
Integrate AI models into enterprise applications and services
Utilize cloud-based services and APIs, primarily within AWS environments
Improve inference efficiency and ensure scalability of deployed solutions
Operations and Lifecycle Management
Continuously monitor model performance and accuracy
Retrain and update models using newly available data
Implement MLOps practices to manage the full model lifecycle
Research and Technology Selection
Evaluate emerging AI technologies, frameworks, and tools
Select optimal algorithms and architectures based on business requirements
Required Qualifications
Programming experience in Python, Java, or similar languages
Foundational knowledge of generative AI, machine learning, and deep learning
Strong communication skills with the ability to collaborate with both technical and non-technical stakeholders
Solid task prioritization and time management skills
Native-level proficiency in Japanese
Preferred Qualifications
Experience developing and deploying systems on AWS
Language Requirements
English reading and writing proficiency required
Business-level English preferred
English primarily used for communication with offshore teams