Top Artificial Intelligence Jobs in Tokyo

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.

Build end-to-end software features across frontend, backend, and AI components. Responsibilities include developing interfaces, APIs, backend services, data pipelines, automation workflows, and LLM-powered applications such as RAG systems and AI agents. The role involves testing, documentation, debugging, cross-functional collaboration, product iteration, and using AI coding tools to improve development speed and quality.

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.

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.

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.

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.

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.

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.

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.

Customer- and partner-facing technical specialist driving Secure AI and Copilot adoption across Japan. Lead technical engagements, workshops, demos, and POCs for Microsoft Defender and Purview, enable partners, translate requirements into secure solutions, and support deployment readiness and scalable partner enablement.

Provide technical support for Wiz's cloud and AI security product: troubleshoot customer issues, escalate as needed, manage incidents, create scalable automation and solutions, update documentation, and participate in on-call rotations.

Lead product roadmap and execution for AI-driven on-chain monitoring tools, coordinate cross-functional teams, analyze market and customer feedback, deliver product features on schedule, and communicate with stakeholders to align expectations.

Design, build, and operate large-scale server platforms for PlayStation online services. Lead AI-enabled developer experience improvements: migrate CI/CD, build AI workflows for pipeline analysis and code review, integrate AI agents, run workshops, and support global teams to deploy AI solutions into production.

Lead end-to-end product design and AI-first prototyping for SmartNews Japan. Build functional, code-based prototypes using AI coding tools, iterate on core UX (feed, discovery, article browsing, ads integration), collaborate with PMs and engineers, and translate research and data into measurable design improvements tailored for Japanese mobile users.

Lead and operate enterprise Azure and Microsoft 365 platforms, manage hybrid identity (Entra ID/AD), deliver and govern AI solutions (Azure OpenAI, Azure ML, Copilot), provide L2/3 support, secure and govern cloud resources, manage on‑prem infrastructure, and drive vendor, project, and stakeholder engagement to scale AI initiatives.

Early-career full stack internship developing frontend and backend features under senior guidance. Integrate AI coding tools into workflows, translate product requirements to implementations, contribute across the product lifecycle, and suggest cross-team process improvements while learning full-stack practices.

Work in the CEO Office to translate CEO priorities into execution across product, hiring, licensing, partnerships, market launches and daily operations. Track OKRs, owners, deadlines; prepare briefs, research, updates and action trackers; support licensing and country expansion; identify and close execution gaps; and own urgent cross-functional business problems.

Build internal AI developer productivity tools (coding assistants, retrieval systems, workflow automation). Develop LLM-powered apps for code generation, understanding, and test automation. Integrate AI across the SDLC, embed with teams to remove friction, experiment with prompt engineering, RAG, and AI agents, and evaluate emerging AI technologies.

Early-career TechOps role: build dashboards/alerts, script repetitive ticket steps, participate in RCAs, log user pain points and propose fixes, create a lightweight agent (e.g., Telegram bot) with reusable skills, optimize incident-management workflows, and write actionable runbooks to improve support-driven user experience.

Lead planning, design, delivery and promotion of a customer-service chatbot management platform. Use AI and big data to improve CS operations (corpus training, SOPs, assistant replies, summaries). Collaborate with engineering, UX, and CS teams. Monitor KPIs and user cases to drive product improvements.

Design and deliver GenAI and Agentic AI solutions for pharma clients, involving data pipelines, AI models, and client-specific integrations across cloud platforms.

Early-career full-time program offering training, mentorship, and hands-on work within Binance's blockchain ecosystem. Participants develop practical skills in Web3, collaborate across teams, and contribute to product and engineering projects while receiving tailored curriculum and 1:1 mentorship.

Partner with strategic startup customers to prototype, build, and scale generative AI applications on the OpenAI API. Provide technical guidance, experiment with prototypes, synthesize product/model feedback, publish best practices, and build relationships across the startup ecosystem to accelerate customer impact.