Develops embedded software for FA sensors, measuring instruments, and image-processing equipment, covering specifications, design, C/C++ implementation, testing, and quality.
Leads customer implementations of LLM and generative-AI systems from architecture through production, building full-stack solutions and improving model quality.
Leads security operations, architecture, and implementation across Keyence’s global IT infrastructure, covering monitoring, incident response, threat analysis, cloud security, and security tools.
Lead architecture and hands-on development for GENIEE SFA/CRM, solve enterprise needs with AI, manage engineering teams, and improve delivery. Two home-working days are possible weekly.
Lead product development in the marketing domain, focusing on software and data to enhance customer value and support the growth of the engineering organization.
Leads end-to-end customer deployments, builds and manages a field engineering organization, develops delivery tools and playbooks, and reviews production code across frontend and backend systems.
Lead platform engineering for AI-native software development and operations, building automation, quality, monitoring, and secure systems for sensitive medical data.
Design, develop, and operate AI agent infrastructure using LLM platforms and agent frameworks to enhance business decision-making.
Shape and implement the future of a design organization by applying software development and UX design expertise to transform cross-functional processes, capabilities, quality systems, and designer development.
Develop and improve Loglass Management through customer-informed design, server-side features, performance optimization, refactoring, testing, and development-process automation.
Translates changing electricity-market rules and business processes into system requirements, defines data and calculation logic, reviews technical specifications, and advances internal DX with AI coding tools.
Develop image-processing software for factory-automation sensors and measurement equipment, designing, implementing, and evaluating algorithms for varied devices and CPU environments.
Lead software development from requirements through release and maintenance, improve architecture and development processes, and support team growth across GO's mobility products. The role may involve hands-on implementation, people management, and generative AI adoption.
Lead AI transformation projects from vision and requirements definition through PoC, implementation, operations, and adoption. Manage multiple client engagements, teams, quality, profitability, staffing, risks, and stakeholder alignment.
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.
Leads enterprise AI implementations from requirements to production, designing architecture, data connectivity, and RAG pipelines while guiding technical standards in a hybrid Tokyo role.
Build data pipelines and machine-learning models for commercial real estate, tune inference, and lead AI product PoCs and MVPs with business teams. Hybrid remote work is available in Tokyo.
The role involves various responsibilities with potential for transfers and business trips across locations.
Lead AI solution business development for enterprise clients, from identifying business needs and designing practical services to proposals, UX planning, and project delivery with engineers. Apply generative AI, NLP, and optimization technologies to new services and operational reform.
Lead product development to democratize marketing and contribute to business growth through technical strategy.
Lead customer research and product strategy for large financial projects, defining value, prioritizing work, directing web/app UI/UX, aligning stakeholders, and improving KPIs after release.
Lead enterprise-wide digital transformation strategy and execution across Mizuho Securities and the financial group. Manage AI, data, and business reform projects, coordinate stakeholders, report to executives, and mentor DX personnel.
Leads data and analytics consulting for customers across industries, defining AI and data-use strategies, designing integrated solutions, and guiding adoption roadmaps while mentoring consultants.