Top Artificial Intelligence Jobs in Tokyo

3–6 month internship supporting risk operations: monitor KRIs and case trends, assist investigations and case analysis, escalate findings, and help optimize AI/LLM tools, automation, and alerting workflows.

Join as an early-career full stack engineer to build frontend and backend product features, integrate AI coding tools into development workflows, translate product requirements into implementations, and grow toward autonomous full stack delivery while improving cross-team processes.

Perform remote, part-time data tasks to improve Japanese AI content: collect, evaluate, and annotate data; do pairwise comparisons, counting, and object tagging across audio, video, images, and other data types.

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

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

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.

Own the roadmap and delivery of AI automation products, including reliable AI agents, tool-calling workflows, n8n automation pipelines, API integrations, and React-based interfaces. Partner with sales, content, and marketing to identify opportunities, then monitor, debug, and improve shipped solutions. The role requires strong product ownership, hands-on AI and automation experience, technical range across frontend and integrations, and fluency with LLMs and agent frameworks.

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.

Design, develop, and optimize autonomous AI agents capable of reasoning, planning, tool use, and multi-step execution. Build agent frameworks, human-AI collaboration mechanisms, monitoring and evaluation systems, and production integrations. Apply large language models, prompt engineering, reinforcement learning, planning algorithms, workflow orchestration, and system design. Collaborate cross-functionally while researching advances in agent technology and improving reliability, accuracy, safety, and efficiency.

Support product operations by collecting and tracking user feedback, coordinating product issues across teams, organizing requirements, analyzing basic data, maintaining web pages, and assisting with AI-related projects. The role requires cross-functional communication, problem-solving, execution skills, bilingual English and Mandarin proficiency, and availability for 3–5 days per week for at least six months.

Support Enterprise AI financial governance by tracking project expenses, performing monthly variance analysis, producing budget summaries, coordinating budget inputs with cross-functional teams, managing stakeholder relationships, attending project meetings, and supporting day-to-day business operations within the EAI function.

Lead research and engineering for large-scale LLM and multi-modal pre-training: design architectures and tokenizers, curate massive datasets, run distributed training on thousands of GPUs, debug performance bottlenecks, and improve cross-modal alignment and efficiency.

Lead Azure-centric cloud and AI solution proposals for SME and channel accounts, coordinating sales, technical, and partner teams to drive migration, modernization, data/AI adoption, and post‑deployment usage to achieve quarterly Azure consumption targets and customer business outcomes.

Lead enterprise customers in adopting AI-driven business process solutions (CRM, ERP, contact center, Power Platform). Identify opportunities, qualify and drive complex deals, build executive relationships, coordinate partners, manage pipeline and forecasting using AI analytics, and deliver strategic solution proposals aligned to customer transformation goals.

Create high-impact AI-generated video and animated ad creatives from brief to final delivery. Use generative AI tools for ideation, moodboarding, prompt engineering, asset variation, and production polish. Collaborate with business and local market teams, present work to stakeholders, and optimize creative performance for marketing and paid ads.

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.

Build and scale a full-stack Next.js application tracking PRs, CI health, test parity, and benchmarks across AI accelerator open-source projects. Integrate GitHub APIs and webhooks, design PR/metrics schemas, visualize results, and produce technical digests and reports on cross-accelerator parity and performance trends.

Drive new business growth for Thomson Reuters legal and AI solutions in the SMB and mid-market segments. Own full sales cycle from prospecting to close, generate pipeline via outbound channels, position product offerings, build relationships with legal stakeholders, collaborate with internal teams, maintain CRM pipeline and forecasts, meet quota, and provide market feedback to inform product and strategy.

Design and build scalable backend systems for the AI Agentic Platform, focusing on intelligent workflows, automation, and performance optimization.

Lead architecture and technical initiatives for eBay's AI Agentic Platform, focusing on scalable systems, mentorship, and AI integration.

Build and ship AI-native systems for a fintech neobank: develop LLM-based agents, RAG/retrieval, tool-calling and automation to improve onboarding, KYC, support, risk review, CRM and operations while focusing on accuracy, latency, cost, security, compliance and reliability in production.

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.

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

Build high-performance, scalable React+TypeScript web applications for payment experiences. Design reusable UI components and optimize frontend performance while collaborating with cross-functional teams on architecture, testing, accessibility, and product delivery.