Top Artificial Intelligence Jobs in Yokohama

Leads process analytics method development and automation across small-molecule and biologic programs. Defines analytical standards, governance, lifecycle management, and multi-year roadmaps; deploys robotics-enabled, high-throughput workflows; supports method transfer, validation, data integrity, and laboratory modernization. Partners with Process Development, Quality, Compliance, Digital, IT, and vendors while providing technical, strategic, and people leadership across Japan-based analytical development programs.

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.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, CI/CD pipelines, scorers, datasets, observability tooling, and diagnostic systems for production AI agents. Design experiments across prompts and models, improve agent reliability, latency, and cost, develop annotation and simulation workflows, and partner with AI Core engineering to validate product changes.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Leads go-to-market strategy and execution for Microsoft’s AI Business Process solutions across Asia. The role drives revenue growth, pipeline acceleration, sales activation, partner-led demand generation, cross-functional alignment, field enablement, business planning, and data-driven investment decisions. It also synthesizes market and field insights to influence corporate GTM plans, product roadmaps, and solution strategy.

Manage Japanese and English-speaking banking clients using AI solutions. Responsibilities include client relationship management, onboarding, training, adoption monitoring, success planning, cross-functional advocacy, retention, and identifying growth opportunities. The role requires strong knowledge of credit, loans, banking operations, fintech, and data-driven solutions, along with experience managing relationships across departments, time zones, and remote teams.

Develop and execute enterprise partner sales strategy across ASEAN, recruiting and enabling SIs, consulting firms, ISVs, and VARs. Drive partner pipeline, revenue, and ecosystem growth; manage targets, deal conversion, performance reporting, and cross-functional partnership programs. Build trusted partner and customer relationships, represent the company at industry events, and support deployment of AI agents and the platform. The role requires independent execution, strategic thinking, strong communication, and travel of up to 40%.

Own the data marketplace product lifecycle, improving vendor onboarding, submissions, quality feedback, offerings management, and buyer discovery. Partner with engineering, research, GTM, and operations to convert complex requirements into reliable workflows. Define marketplace health and adoption metrics, use qualitative and quantitative insights to prioritize product improvements, and guide launches and iteration in a fast-growing AI startup.

Develop AI-driven products through hands-on software development and product engineering. Build minimum viable products, solve problems creatively, and help shape future AI applications. The role is available remotely or in Boston and Chicago, with contract options ranging from two weeks to three months or full-time, plus potential revenue sharing.

Leads regional digital and computational pathology sales strategy, revenue growth, market expansion, customer adoption, forecasting, and complex healthcare solution sales. Builds executive relationships, manages strategic opportunities, develops market and competitive strategies, and partners cross-functionally on solution delivery. Recruits, coaches, and manages Digital Pathology Sales Specialists and Solution Architects while driving performance through Salesforce and Danaher commercial processes.

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 and grow strategic B2B customer relationships in Japan across the post-sale lifecycle, including implementation, onboarding, training, adoption, value realization, retention, renewal, and expansion. Act as a cultural and business bridge between Japanese customers and global teams, represent customer needs internally, identify risks and opportunities through customer and product data, and support commercial growth. The role requires regular customer engagement, domestic travel in Japan, and occasional international travel.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Build and lead the AI engineering platform for enterprise COBOL modernization. Responsibilities include designing transformer models for COBOL-to-Java/Python translation, developing high-performance code analysis engines, optimizing inference, architecting distributed cloud-native systems, and delivering reliable AI pipelines for large enterprise codebases. The role also includes hiring and leading engineering teams, shaping product strategy, and partnering with the CEO as a technical co-founder.

Oversee portfolios of Generative AI data operations projects, managing delivery, capacity planning, vendors, budgets, quality, risks, automation, and client reporting. Coach project managers and coordinators, collaborate with recruiting and finance, enforce data security and compliance, and improve processes across distributed teams.

Support Japanese client accounts as a bilingual Customer Success Manager, assisting with meetings, translation, onboarding, follow-ups, deliverable tracking, engagement monitoring, reporting, and renewal preparation. The role also supports prospecting and business development activities. Success requires business-level Japanese, professional English, strong communication and organization, and familiarity with tools such as Zoom, Confluence, SharePoint, and Zendesk.

Own post-sale success for enterprise customers by driving AI product adoption, retention, renewals, and expansion. Lead onboarding and enterprise rollouts, engage technical and executive stakeholders, develop repeatable AI workflows, monitor account health and usage data, and represent customer feedback internally to influence product priorities.

Participate in full-stack development and maintenance of Binance’s KYC system, including backend services, frontend features, documentation, testing, regression, troubleshooting, and customer issue resolution. The role is a 3–6 month accelerator internship for current university students and recent graduates, with an emphasis on Java, Spring Boot, databases, middleware, and frontend technologies.

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.

Develop and launch conversational AI agents for enterprise customer interactions. Translate business requirements into effective agent designs, lead multiple complex AI initiatives, partner with product and engineering teams, and align technical and business stakeholders. Use conversational design, product judgment, and performance data to improve agent outcomes, mitigate risks, and support customer adoption.

Serve as a Cloud Solution Architect specializing in Microsoft 365 Copilot and related Copilot tools to design, build, and operationalize AI agents. Engage with customers to gather requirements, create architectures, support implementation and adoption, integrate with other platforms, collaborate with sales and engineering, and share reusable knowledge to maximize business value and ROI.

Participate in smart contract audits for ERC token contracts, identifying security vulnerabilities and attack vectors. Develop AI and LLM-based tools to automate vulnerability detection and improve audit coverage. Analyze Web3 security incidents, including root causes, vulnerability types, and impacts, to optimize audit processes. The role requires Solidity proficiency, knowledge of EVM internals and ERC standards, and familiarity with Ethereum, BSC, DeFi, and L1/L2 architectures.

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.

Develop, optimize, and deploy AI applications on customer silicon; provide technical training and support; reproduce and resolve pre- and post-silicon software issues; build benchmarks and proofs-of-concept; collaborate with R&D for fixes and performance tuning; create documentation and customer-facing collateral.