Top Artificial Intelligence Jobs in Tokyo

Lead strategic engagements to accelerate sales and adoption of Genesys AI and Experience Orchestration. Translate business goals into AI use cases, run customer workshops, support deal strategy and enablement, build territory/account plans, provide subject matter expertise for positioning, pricing, proposals, and collaborate across sales, product, marketing, and services to drive pilots and measurable outcomes.

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.

The AI Architect at Genesys will bridge AI product management and customer teams, driving growth, technical demonstrations, and AI integration while influencing decision-makers.

Drive business growth in APAC for AI solutions, focusing on identifying opportunities, closing deals, and building an AI sales team while maintaining client relationships.

The Senior Sales Director will drive AI solutions growth in APAC, identifying client needs, managing sales processes, building relationships, and leading a sales team.

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

Lead design and build of an end-to-end AI contract-review agent: prompt orchestration, RAG pipelines, fine-tuning, web UI and tooling, data/model infra, deployment (CI/CD/cloud), and product-driven features like assumption mapping and contract diagnostics.

As a Forward Deployment Engineer, you will architect solutions for enterprise customers, lead technical engagements, develop platform expertise, and manage customer relationships to ensure successful AI infrastructure integration.

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.

The AI Product Manager will collaborate with enterprise clients to define growth strategies, assist with AI solution implementation, and analyze performance metrics to optimize client engagement and retention.

The Solution Architect will drive the adoption of NVIDIA's AI solutions by collaborating with customers, providing technical support, and optimizing their use of generative AI technologies.

Lead R&D in multi-agent systems for Automotive, design security models, develop AI agents, and manage PaaS services.

The AI Engineer will deploy AI agents, partner with teams for technical value demonstration, and contribute to platform scaling and capabilities development.

As an Applied AI Engineer, you will deploy AI agents, integrate systems, and enhance platform capabilities through technical expertise and collaboration with Sales and Engineering.

Develop and improve Vision-Language models for robotics, build training pipelines, conduct error analyses, and establish infrastructure for model deployment.

Manage AI business growth by engaging with strategic partners, coordinating go-to-market initiatives, and supporting AI-related solutions development and scalability.

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.

Evaluate, annotate, and perform quality checks on multimodal AI-generated content (text, image, audio, video). Identify edge cases, ensure guideline compliance, contribute to dataset creation, participate in calibration and quality alignment, and provide feedback to improve annotation workflows and model training data.

The role involves driving sales strategy, developing customer relationships, expanding market share, and supporting Account Managers to achieve sales targets.

The Senior AI Engineer will implement neural networks, develop SaaS frontend applications, and optimize solutions using state-of-the-art technology.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Design and implement backend AI systems centered on LLMs and agentic workflows. Build AI agent orchestration (model/tool calling, multi-step reasoning, state management, error handling), integrate models, RAG, and inference services, optimize for high concurrency (streaming responses, async scheduling, caching, cost control), and collaborate with product, frontend, algorithm, and platform teams to deliver scalable AI capabilities.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

The role involves labelling, annotating, and evaluating multimedia content in Japanese, ensuring accuracy and quality for AI training initiatives within Canva.