Top Artificial Intelligence Jobs in Yokohama

Provides senior-level employee relations expertise for Japan, advising leaders on complex workforce, labor, compliance, and organizational risks. Leads sensitive workplace investigations, interprets Japan employment law, guides workforce changes, supports labor relations, and partners with Legal, Ethics, Security, and People teams. Also strengthens ER governance, capability, risk assessment, and responsible adoption of AI-enabled workplace practices.

Serve as a trusted People Business Partner to Market Area North East Asia leaders, translating business priorities into people plans and driving organizational effectiveness. Use people analytics, dashboards, and AI literacy to inform decisions and improve employee experiences. Lead change initiatives and People projects, coordinate stakeholders, manage risks, and support implementation across multicultural teams. Collaborate globally while developing toward future HR leadership.

Serve as a trusted technical advisor to customers and prospects in Japan. Lead discovery, demos, workshops, proofs of concept, architecture design, and technical validations for GitLab’s DevSecOps platform. Help customers plan migrations from Jenkins, adopt AI-enabled development, resolve post-sale challenges, and expand usage. Collaborate with Account Executives and cross-functional teams, create technical content, present at events, and mentor team members.

Leads global process technology and innovation strategy for pharmaceutical manufacturing, overseeing roadmaps, innovation portfolios, technology industrialization, automation, digital and AI-enabled solutions. Partners across R&D, Manufacturing, Quality, Engineering, Supply Chain and Digital teams to deploy scalable technologies, improve performance and compliance, guide investments, build partnerships, and advise senior leadership.

Leads Takeda’s global PAT technology and innovation strategy across manufacturing. Owns the multi-year roadmap, innovation portfolio, technology standards, vendor partnerships, and deployment of analytical technologies, process models, automation, digital twins, and AI-enabled manufacturing solutions. Drives PAT industrialization from scouting through validated GMP implementation, including RTRT and advanced process control. Establishes data integrity, validation, regulatory, and lifecycle governance while delivering improvements in quality, yield, productivity, release time, and supply reliability. Develops organizational capability and coordinates cross-functional stakeholders across MSAT, manufacturing, quality, engineering, and digital technology.

Build and own evaluation infrastructure, observability tooling, datasets, annotation workflows, and diagnostic systems for production AI agents. Lead experiments across prompts, models, routing, caching, cost, and latency. Diagnose failures across planning, tool use, and agent execution, while partnering with AI Core engineering. Manage and grow the AI Quality team as a hands-on player-coach, contributing directly to production code and technical direction.

Lead technical onboarding and deployment of the Cybereason cybersecurity platform. Configure solutions to customer requirements, support sensor-server connectivity, troubleshoot technical issues, manage milestones and schedules, coordinate escalations across Support, DevOps, and R&D, and provide product, security, and technical training while maintaining customer partnerships.

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.

Drive adoption and value realization of Neara’s digital-twin platform among Japanese utility customers. Responsibilities include customer engagement, platform enablement, training, ROI and business-case development, stakeholder management, solution expansion, and collaboration with Sales, Deployment, Product, and Engineering teams. The role requires translating customer strategic goals into technical solutions and measurable business outcomes, with regular customer and team travel in Japan and internationally.

Lead and close complex enterprise SaaS and AI deals, expand strategic accounts, build executive relationships, generate new business, and exceed pipeline and revenue targets. Maintain accurate Salesforce forecasts, sell through business value, and collaborate with system integrators and hyperscalers. The role requires strong enterprise sales experience, executive-level relationships, negotiation skills, local-language fluency, independent execution, and success in high-growth environments.

Supports Sales Operations, Planning, and Enablement through data analysis, Power BI dashboards, scenario modeling, and actionable business insights. Develops area-level views, planning tools, and enablement capabilities for segmentation, territory design, resource allocation, and Fast Start execution. Identifies opportunities to apply AI, Copilot, and automation to simplify processes, reduce manual effort, and improve productivity across the organization.

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.

Create and refine natural Japanese dialogue for AI characters, shaping their personalities, voices, emotional expression, humor, conversational rhythm, and relationship-building behaviors. Develop dialogue guidelines, review existing conversations, and collaborate with international creative and product teams. The role requires native-level Japanese, English communication skills, strong creative writing ability, and a portfolio demonstrating character development and dialogue writing. Freelance work is fully remote with flexible scope and potential for long-term collaboration.

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.

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.

Design, implement, review, and validate production-grade Rust backend systems for AI training projects. Responsibilities include API development, persistence, asynchronous processing, concurrency, performance optimization, reliability testing, architecture assessment, debugging, and creating reproducible environments with databases, dependencies, fixtures, and containers. The role requires clear technical documentation, evaluation of failure scenarios and race conditions, and consistent delivery of high-quality implementation artifacts.

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.

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.

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.

Designs and leads Azure AI and TokenOps architectures across Asian markets. Responsibilities include customer workshops, pilots, agent and RAG architecture, model routing and evaluation, observability, FinOps unit economics, enterprise integration, security, Responsible AI, and regulatory compliance. The role coordinates customers, partners, Microsoft stakeholders, and regional delivery teams while creating reusable, locally adaptable architecture and delivery patterns.

Build LLM and coding-agent harnesses, evaluation benchmarks, enterprise Document AI products, and reliable AI systems. Responsibilities include architecture, tool and permission design, automated validation, model experiments, data curation, applied research, production monitoring, and end-to-end product delivery. The role requires strong software engineering, practical LLM experience, extensive coding-agent use, an evidence-driven approach to AI evaluation, and ownership in a fast-moving founding team.

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.

Designs reference architectures for AI data center networks, including L2/L3 fabrics, BGP, EVPN/VXLAN, RoCEv2, and QoS. Builds and operates labs to qualify switches, NICs, and network operating systems; performs interoperability and performance testing; reproduces complex customer issues; and troubleshoots congestion, packet loss, MTU, latency, PFC, and ECN behavior. Documents best practices, develops automation, collaborates with vendors and internal teams, and provides feedback to product R&D.