Top Artificial Intelligence Jobs in Tokyo

The Research Engineer develops AI and ML models and prototypes to solve supply chain issues, collaborate with product managers, and document specifications.

As a Solution Architect, you'll support customers in adopting Agentic AI, provide technical guidance, and create reference architectures while leading pre-sales conversations.

As an AI/ML Engineer, you will design and optimize machine learning models for Zeals' Conversational Commerce platform, focusing on NLP and large language models.

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 an AI Specialist Solution Architect, you'll provide technical sales support for Red Hat AI, facilitate system design, and advocate for customer integration.

Lead a team of engineers in developing AI capabilities, managing projects and ensuring high-quality work while fostering a positive culture.

As a Solution Architect at NVIDIA, you'll work with enterprise clients on adopting AI solutions, develop proof of concepts, optimize performance, and provide technical support while collaborating with sales teams.

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.

As a Full Stack AI Engineer, you will build and deploy full-stack applications integrating ML models, develop APIs, and collaborate with teams to enhance AI-driven financial services.

As a Founding AI Software Engineer, you'll design, build, and deploy AI systems that improve access to financial services, collaborating with product and engineering teams while managing the ML lifecycle and ensuring real-world results.

Lead AI Engineer will design, build, and implement high-impact AI/ML models, mentor junior engineers, and oversee the ML lifecycle, contributing to team growth and AI strategy.

The Lead AI Engineer will design, build, and lead AI systems, mentor engineers, and drive technical strategy in a remote role.

As an AI Software Engineer, you will build intelligent systems for personalized recommendations, fraud detection, and automation while managing the ML lifecycle and collaborating with different teams.

As an AI Engineer, you will build full-stack applications integrating machine learning models, develop APIs, and collaborate with cross-functional teams to deliver intelligent systems that enhance user financial experiences.

The Senior Software Engineer will design and maintain large-scale infrastructure for AI workloads, optimize solutions, and mentor junior engineers while supporting production incident response.

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.

Design, implement, and optimize conversational AI systems using LLMs, integrating with APIs, and collaborating with front-end teams to enhance user experiences.

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

Develop AI/ML technologies for improving the realism of game character expressions and textures; prototype development and integration into game production.

The Applied AI, Product Engineer drives AI adoption by developing custom LLM solutions, collaborating with teams, and advising customers on integration.

Lead the Enterprise AI - Trustworthy AI team, focusing on AI tools integration, model development, and cross-functional collaboration with a hands-on approach.

Lead customer engagements and partnerships for Enterprise AI, focusing on business development within the Toyota Group and ensuring win-win relationships with vendors.

The Senior AI/ML Engineer at Nansen will develop AI models for blockchain data analysis, collaborating with teams to enhance platform capabilities and mentor junior engineers.

The AI Adoption Manager will drive product adoption and value for enterprise customers by developing strategies, collaborating with teams, and fostering strong relationships to ensure exceptional experiences and outcomes.