Top Artificial Intelligence Jobs in Tokyo

Partner with enterprise customers and ecosystem partners to discover, validate, and prioritize private AI use cases; lead hands-on discovery workshops, assess data and infrastructure readiness, build lightweight proofs-of-concept and reference architectures, and translate qualified opportunities into engineering blueprints for handoff to deployment teams.

The Senior Manager, Digital AI Tech leads the integration of AI technologies in marketing workflows, ensuring effective implementation, user adoption, and compliance with governance standards.

Lead and execute AI-driven consumer product initiatives for search, recommendations, personalization, and conversational experiences. Collaborate with engineering, design, data, and business teams to define requirements, use data and user feedback to refine products, and deliver improvements within the contract period.

Lead a team designing, delivering, and scaling AI and automation solutions across Azure and Microsoft 365. Manage hybrid identity, Azure operations, M365 administration, security/compliance, on-prem servers, vendor relations, and AI strategy (Copilot, OpenAI, Cognitive Services). Oversee governance, POCs, and enterprise adoption while providing L2/3 support and project delivery.

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.

The Solutions Engineer will ensure customer satisfaction with OpenAI solutions by guiding AI strategies, providing technical expertise, and fostering relationships with clients.

Lead technical sales for Red Hat AI in Japan, orchestrating cross-functional teams and partners to close large enterprise AI deals. Position the Red Hat AI stack for production-grade hybrid-cloud deployments, demonstrate economic value and inference optimization, define account AI strategy, and engage C-level and technical stakeholders.

The AI Deployment Engineer will partner with major customers, guiding application development using the OpenAI API, and providing technical expertise to ensure successful deployments.

As a Solutions Architect, you'll provide technical guidance to enterprise clients on integrating AI systems, develop architectures, and support deployment while collaborating with various teams.

Lead design and delivery of cloud-native, event-driven platforms and applications. Drive full lifecycle development, champion engineering best practices, implement production-ready solutions, and build AI/LLM capabilities like RAG, embeddings, and model CI/CD across multi-cloud environments.

As a Forward Deployed Engineer, you'll develop solutions integrating AI with customer workflows, build data insights, and guide technical adoption in client environments.

The role requires driving AI-driven solutions within customer teams, ensuring adoption of OutSystems capabilities, and delivering intelligent solutions while embedded in complex environments.

Lead design, development, testing, and App Store submission of production-scale iOS features in Swift. Collaborate cross-functionally, enforce code quality via reviews and refactoring, maintain technical documentation, and adopt AI-assisted tooling to improve productivity across large, user-facing modules.

Own end-to-end Instagram Reels production: ideation, scripting, editing, and delivery. Use AI tools to support ideation and production, test formats, optimize for retention, and stay on top of short-form video trends to grow international audiences.

As an AI Data Expert, review and annotate AI-generated outputs, ensuring cultural relevance and accuracy. Contribute to AI training with original content and detailed feedback while working flexibly as an independent contractor.