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 lead development teams on AI projects from project launch through completion. Responsibilities include overall development management, strategic planning, schedule management, resource allocation, team building, and technical support.
The role involves close collaboration with client companies. Duties include defining project goals, gathering needs, proposing AI system development, reporting progress, and explaining results. The engineer will lead solutions to clients’ technical issues and the introduction of new technologies.
The role supports the full lifecycle from requirements definition and design through development, testing, operation, and maintenance. It also promotes model accuracy improvements and operational optimization using a comprehensive understanding of the systems.
Projects are conducted within the custom AI solutions business and may span multiple domains depending on the client and project. Areas include AI utilization consulting, AI development services, DX and AI advisory work, AI system proposals, AI proof-of-concepts and prototypes, satellite-data and AI analysis services, MLOps, continuous learning, and AI licensing services.
Required qualifications include approximately five or more years of experience in consistently handling AI system requirements definition, design, development, testing, maintenance, and operations; knowledge and implementation experience in machine learning and deep learning; and practical project management experience. Native-level Japanese is required, along with English ability at conversational level or above and no resistance to using English.
Preferred experience includes developing and deploying AI models using AWS, GCP, or Azure; practical data analysis and data science skills; knowledge and development achievements involving generative AI, including large language models; advanced expertise in algorithm design or mathematical statistics; and vendor management experience covering vendor selection, ordering, and progress management.
The named development environment includes Python, AWS, GCP, Azure, company servers, Git and GitHub, GitHub Actions, Docker, Terraform, AWS CDK, Google Drive, and Slack.
The position is based in Otemachi, Chiyoda-ku, Tokyo. Engineers generally work from the office once per week, with remote work available according to project needs, including client visits and field surveys.
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