Top Artificial Intelligence Jobs in Tokyo

The Customer Technology Advisor will engage with customers to provide technology solutions, leveraging expertise in system integration and consulting, while leading pre-sales processes and building partnerships. They will demonstrate technical capabilities and manage customer relationships to drive success.

The Data Architect will manage data life cycles, design data architectures, and ensure data governance to meet customer needs using various technologies.

Mentor students in Nanodegree programs, provide project reviews and technical support, offering personalized feedback and responding to queries promptly.

As a Project Manager at Kyndryl, you'll oversee project delivery, manage teams, construct project plans, and maintain client communication, ensuring successful outcomes. This role requires strong organization, planning, and communication skills while fostering collaboration across diverse teams.

The AI Engineer will leverage AI technologies for business transformation, handling system development, requirements definition, project management, and collaboration across teams.

Design, develop, and validate AI/ML products in life sciences, while advising leadership on technical feasibility and collaborating with teams to build impactful tools.

Lead and mentor a consulting team, maintain client relationships, develop solutions, oversee financial performance, and contribute to strategic direction.

The UX Design Strategist will develop user experience visions, manage client relationships, push the UX business, and collaborate with teams in the automotive sector.

Join Welo Data to provide high-quality AI datasets including annotation, labeling, and data collection in multiple languages.

The role involves leading software application design and development, creating technical blueprints, and overseeing project specifications while collaborating with various teams to ensure solutions meet business needs.

As a Software Architect/Developer, you will lead the design and development of AI applications, ensuring integration with business needs while mentoring developers. You'll define architecture, maintain best practices, and actively participate in architectural discussions.

The AI Specialist, Customer Success drives AI adoption for Zendesk customers, ensuring they achieve business value through proactive engagement and expertise in Zendesk's AI solutions.

As Product Lead, you will drive AI initiatives, transform strategies into execution, and ensure alignment across departments for measurable outcomes.

Join a small team to innovate video game experiences with AI in anime. Collaborate with top experts and shape character interactions.

Join a talented team to innovate in AI-powered anime games, focusing on LLM research and character development. Significant artistic freedom is provided.

Develop and optimize AI simulation models using multi-agent systems and generative AI. Collaborate with teams to create scalable simulation solutions and iterate quickly based on feedback.

As a Solutions Architect, you'll advise enterprise customers on integrating AI solutions, manage technical requirements, and deliver compelling content. You'll support the deployment of LLM solutions and collaborate internally to ensure customer success.

As a Software Engineering Technical Specialist, you'll develop solutions in software engineering, lead teams, mentor engineers, and drive the delivery of scalable software products.

The role involves overseeing AI deployment strategizing, customer relationship management, guiding organizational readiness for AI, and leading deployment ownership of AI-powered solutions.

The AI Sales Manager will drive sales opportunities in AI services, manage client accounts, and ensure business growth through consultative sales in competitive markets.

As a Lead Software Architect, you will design software architecture, lead development teams, create technical blueprints, and ensure cohesive integration of software applications.

The Senior DevOps Engineer will build and maintain backend infrastructure for AI data pipelines, support model training and production, and develop monitoring systems.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The Lead AI Engineer will design, implement, and lead AI systems, mentor junior engineers, and drive technical strategies while collaborating with cross-functional teams.

As a Full Stack AI Engineer, you'll build and deploy applications integrating ML models, work on backend and frontend solutions, and enhance user experiences across AI-driven systems.