Top Artificial Intelligence Jobs in Yokohama

Lead verification efforts for DRAM and emerging memory designs by developing testcases, testbenches, and verification environments. Simulate, analyze and debug pre-silicon full-chip designs using Spice or Verilog flows, run regressions for coverage, and collaborate internationally to evolve verification methodology and flows.

Manage end-to-end payroll for Japan, including statutory filings, payments, compliance, reconciliations, approvals, exceptions, and data integrity. Serve as the country payroll subject matter expert, collaborate with internal stakeholders, monitor KPIs and SLAs, improve processes, and mentor payroll specialists. The role also supports regional managers and requires strong payroll knowledge, analytical problem-solving, English fluency, and automation and AI capabilities in a fully remote environment.

Manage complex employee exits across international jurisdictions, ensuring legal compliance, accurate documentation, confidentiality, and a high-quality client experience. Provide first-level employee relations guidance, assess workplace concerns, advise on disciplinary processes, lead difficult conversations and negotiations, and coordinate internal and external stakeholders. Mentor junior colleagues, track cases, and drive process improvements, automation, AI adoption, and enhanced employee lifecycle experiences in a remote, asynchronous APAC environment.

Owns core platform experiences across homepage, user center, AI-generated interfaces, and market pages. The role leads onboarding and activation optimization, personalization and recommendation strategies, generative UI development, and cross-functional product delivery. Responsibilities include partnering with AI, search, recommendation, and LLM teams; defining metrics; running experiments; and using data to improve conversion, engagement, and user journeys across a global fintech and cryptocurrency platform.

Analyze large-scale transactional, operational, and customer datasets; build visualizations, machine learning models, and experiments; translate complex findings into clear recommendations for operational teams and executives; and apply analytical software, databases, visualization tools, and programming languages in a fast-paced blockchain environment.

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.

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

Support validation and quality testing for mobile DRAM products: develop test methods and patterns, collaborate with design/process/test/reliability teams, perform electrical failure analysis, improve test coverage and yields, apply data analysis and AI tools to automate workflows and enhance product quality.

Own core platform features and AI-powered personalization across Binance’s main site, including homepage, user center, market pages, onboarding, recommendation strategies, and generative UI. Partner with engineering, design, data, ML, and business teams to define requirements, improve user journeys, increase conversion and engagement, establish success metrics, run experiments, and iterate on user-facing products.

Lead go-to-market and business development for BSI's AI Business Unit in Japan. Drive new enterprise client acquisition (≈70%) and deepen existing accounts (≈30%), proposing AI Governance, AI Assurance, ISO/IEC 42001, training and digital trust solutions. Manage proposals, contract negotiations, Salesforce pipeline, market research, partner development, and collaborate with global AI and assurance teams.

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.

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.

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.

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.

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.

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.

Lead development and management of reliable, distributed systems for a GenAI cybersecurity product. Improve availability, scalability, monitoring, CI/CD (GitLab), automation (Ansible/Terraform), and collaborate with engineering to optimize performance and deployments.

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.