Lead AI and LLM solution delivery for client organizations, from identifying operational challenges and shaping requirements through PoC development, implementation, deployment, and ongoing improvement.
About this role
This role leads the information systems function for JDSC and its group companies within the PIT team. It combines hands-on internal IT operations with team leadership, including work allocation, member development and evaluation, prioritization of daily requests, response-quality control, and escalation handling.
Work covers help desk, PC provisioning, device management, IT service-desk operations, SaaS administration, access management, first-line reviews of new SaaS and software, vendor and budget management, and coordination with other departments and group companies. The named environment includes Windows and Mac devices, Google Workspace, Microsoft 365, Slack, and Netskope; the role also handles device shipping and recovery logistics and vendor contract negotiations.
Applicants need strong practical information-systems skills and team-management skills. The supplied posting specifies no additional candidate qualifications.
This is an AI-generated summary of the employer's original posting — details can be incomplete, out of date or simply wrong. Always confirm everything on the official posting before applying.
Similar jobs
Design and develop AI agents, data pipelines, data warehouses, and MLOps environments while leading PoCs, agile delivery, continuous operation, and customer-focused software transformation.
Design, build, and operate cloud infrastructure, address security and non-functional requirements, standardize multi-cloud and IaC architecture, and improve reliability and DevOps with stakeholders.
Manages hardware assets, data-center and server-room operations, facility risks, vendor performance, purchasing coordination, inventories, and compliance across Japan.
Manages an Enterprise Solutions Engineering team in Tokyo, supporting enterprise solution engineering activities for Box customers and stakeholders.
Design and implement scalable data delivery solutions for Toyota and its partners, supporting machine learning projects.