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
This AI Engineer role works in a custom AI solutions business supporting client projects across AI consulting and development, satellite-data analysis, and MLOps, continual learning, and AI licensing services. Projects may span multiple domains depending on the client and assignment.
The role researches and designs solutions for client challenges using statistical and machine-learning methods, then implements and evaluates them. Responsibilities include designing, developing, and testing AI systems; reporting technical progress and discussing technical matters with clients; and advancing projects in collaboration with solution architects. The work can involve AI system proposals, proof-of-concepts, prototypes, production development, satellite-data analysis engines and reports, or continual-learning environments.
Required qualifications include at least two years of practical development experience, experience using development tools such as GitHub, experience implementing solutions with open-source software or libraries, research and investigation ability, and logical thinking. Business-level Japanese and conversational English are required. Preferred qualifications include basic machine-learning knowledge or a strong interest in the field, implementation experience in machine learning or deep learning through research, internships, or personal projects, experience using AWS, GCP, or Azure, and knowledge of LLMs or generative AI. The role also calls for the ability to explain complex topics clearly, communicate proactively, respect team members' abilities and backgrounds, and take ownership of actions.
The named development environment uses Python; AWS, GCP, and Azure cloud services or the company's own servers; Git and GitHub for version control; GitHub Actions for CI/CD; Docker for containers; Terraform and AWS CDK for infrastructure configuration; Google Drive for documentation; and Slack for communication.
The position is based in Otemachi, Chiyoda-ku, Tokyo. Remote work is available according to work conditions, with attendance at the office generally required once a week; client visits and field surveys may also be required.
Side work is permitted subject to conflict-of-interest, confidentiality, authorization, and performance conditions.
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