Top Artificial Intelligence Jobs in Tokyo

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

The Software Engineer in Test III will develop and execute automated tests, maintain testing tools, analyze defects, and ensure product testability within TraceLink's software solutions.

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.

As an AI Anime Researcher, you'll design large-scale diffusion models focusing on images for anime-related video games, combining your deep learning expertise with artistic visuals.

この職務は、AI駆動のソフトウェア開発ライフサイクル戦略を策定し、AI技術とビジネス要件を統合したロードマップを作成することを含む。エンドツーエンドの技術支援や最新事例分析も行い、企業変革を推進する。

The Account Executive will drive new sales in AI solutions, engage with clients, and leverage industry expertise to close large deals, positioning IFS as a trusted partner in digital transformation.

The Business Development Manager will develop go-to-market strategies in AI services, strengthen customer relationships, and lead cross-functional collaboration to achieve sales targets.

As a Customer Technology Advisor, you will leverage your expertise in system integration sales to drive technology solutions for customers, collaborating closely with partners and stakeholders. Your role involves demonstrating technical value, supporting the sales process, and building strong customer relationships to deliver successful outcomes.

The Partner Solutions Architect will cultivate technical relationships, develop joint solutions with partners, support customer deals, and represent Anthropic at industry events.

The Partner Sales Account Manager will drive growth with global OEM partners, focusing on virtualization and AI opportunities while supporting joint sales activities and account execution.

As a Customer Technology Advisor, you will leverage your technical expertise to drive customer engagement, support sales processes, and deliver innovative solutions tailored to client needs.

The Customer Technology Advisor role focuses on leveraging technical expertise in Application Data and AI to deliver solutions and support sales activities, enhancing customer relationships through consultative selling methods.

Partner with sales to design and demo agentic, predictive, and generative AI solutions; build MVP agentic applications; lead PoV engagements; define enterprise integration, security, governance, and deployment requirements; advise on data readiness and compliance; and provide cross-functional feedback to product and go-to-market teams to accelerate AI adoption and production readiness.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

This role involves business development focused on leveraging the latest AI technologies within Google Cloud, promoting innovation and diversity.

The AI Solution Sales Specialist advises enterprise clients on leveraging AI for business transformation, guiding them from opportunity qualification to deal closure. This role involves driving the entire sales cycle, building business cases, and leading workshops with executives.

This role involves building and maintaining an AI-assisted Software Development Life Cycle platform, ensuring scalability and integration with enterprise systems. Responsibilities include designing infrastructure, managing CI/CD pipelines, and collaborating on technical architecture.

Develop AI tools for creating game art using large language models. Responsibilities include prompt design, UX optimization, and system performance evaluation.

The Head of Product will lead the AIVM platform development, managing product strategy, execution, and cross-functional collaboration while focusing on AI and blockchain technologies.

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