Top Artificial Intelligence Jobs in Tokyo

Own adoption, value realization, renewals, and expansion outcomes for named mid-market B2B software accounts. Build success plans, guide workflow and AI transformation initiatives, demonstrate ROI to executives, manage renewal risk, identify expansion opportunities, and coordinate with Solutions Consulting and Services on implementations. The role requires customer discovery, workflow configuration, stakeholder management, commercial awareness, and fluency in Japanese and English.

Lead Azure cloud and AI sales for major trading/retail customers: engage CxO stakeholders, design and drive migration, modernization, data platform and AI application solutions, orchestrate partners and internal teams, manage pipeline and forecasting using AI-driven analytics, and promote Azure adoption and consumption.

Drive enterprise sales growth for Microsoft Modern Work and AI Workforce solutions. Generate pipeline, engage business decision-makers, identify customer needs, articulate business value, develop tailored solutions, and close opportunities. Collaborate with technical specialists, partners, and consultants to execute account plans, cross-sell and up-sell, forecast, analyze business opportunities, and exceed sales targets. Serve as a subject matter expert on Modern Work, Microsoft 365, generative AI, security, compliance, collaboration, and productivity solutions.

Drive Azure Cloud and AI revenue through a portfolio of Cloud Solution Provider partners. Develop partner sales plans, accelerate and close pipeline, forecast revenue, coach partners on solution-area sales strategies, manage top deals in MSX, remove commercial blockers, and promote co-sell strategies, deployment, and consumption across the Corporate segment.

Drive Azure Cloud Solution Area revenue growth through Microsoft’s CSP partner ecosystem in Japan’s Corporate segment. Develop partner sales plans, accelerate and close pipeline, forecast revenue, manage top deals in MSX, remove commercial blockers, and use co-sell strategies, investments, and incentives to increase deal progression, deployment, and consumption. Serve as a trusted business advisor to partners and lead the Japan Corporate Partner Solution Sales team.

Evaluate Japanese-language AI chatbots and language models through structured written and voice interactions. Assess model capabilities, safety, helpfulness, and response quality; follow assigned prompts and goals; and submit ratings, write-ups, screenshots, or recordings. Work is remote, task-based, and project-based, with flexible scheduling and batches of assignments.

Design, implement, and operate shared MLOps and LLMOps platforms supporting AI development, evaluation, deployment, monitoring, and releases. Build traceability, feedback loops, quality and safety monitoring, CI/CD automation, infrastructure-as-code workflows, observability, rollback mechanisms, and agent-based code review systems. Collaborate with product, ML, security, and cloud infrastructure teams to deliver reusable, reliable, secure, and sustainable AI platform capabilities. Hybrid work requires travel to Woven City several times per month.

Leads Azure solution sales and AI transformation initiatives for enterprise media, advertising, and printing customers. Identifies strategic needs, develops differentiated cloud and AI value propositions, engages C-level stakeholders, manages complex sales cycles, builds business cases, drives Azure opportunities and consumption growth, and coordinates account teams, engineers, services organizations, and partners. Responsibilities include competitive positioning, territory and pipeline management, forecasting, executive engagement, proof-of-concept scoping, and closing strategy execution.

Leads an enterprise Solution Engineer team supporting AI business transformation in Japan. Responsibilities include hiring, coaching, performance management, technical strategy, architecture reviews, solution quality, customer engagement with CxOs, pipeline and resource management, competitive differentiation, and collaboration with Sales, Customer Success, Partners, and Engineering. The role requires deep expertise in enterprise presales, business applications, ERP/CRM, business processes, data, or AI, along with people leadership experience.

Lead enterprise AI adoption using Microsoft 365 Copilot and Azure AI. Define AI business vision and KPIs, design transformation roadmaps, measure ROI, drive end-to-end project delivery, advise executives, manage risks, and contribute IP and community knowledge sharing to scale AI solutions.

Build and lead scientific developer relations for an AI materials platform. Engage technical partner organizations, advise computational chemists and materials scientists, run technical workshops and demonstrations, create documentation, notebooks, APIs, and reference materials, and relay partner feedback to AI research, chemistry, and product teams. Collaborate with marketing on technical case studies and content. The role requires strong materials science or related expertise, computational chemistry or Python experience, technical communication skills, and regular travel.

Leads an enterprise solution sales organization focused on AI-driven business process transformation. Develops sales strategy, pipeline, forecasts, deal execution, and revenue growth while engaging CxOs and business leaders. Orchestrates Microsoft teams, engineering, customer success, partners, and other stakeholders across complex transformation opportunities. Builds business cases, ROI models, and implementation roadmaps using Microsoft 365 Copilot, AI agents, Dynamics 365, and Power Platform. Coaches sales professionals and scales repeatable sales motions and market opportunities.

Lead and manage a cross-functional engineering team to design, build, and operate scalable, reliable customer-facing products. Own architecture, delivery, code quality, observability, incident response, and engineer development while partnering with product, design, mobile, backend and AI teams to deliver business outcomes.

Lead technical design and execution of major products, remaining hands-on to code, review, debug and operate production systems. Make architecture decisions across backend, frontend, APIs, databases and cloud, mentor engineers, improve tooling and reliability, and drive initiatives from idea to production.

Leads enterprise Azure and AI transformation sales for HR services customers. Identifies strategic needs, develops differentiated cross-solution proposals, builds ROI and TCO business cases, manages complex sales cycles and territories, engages C-level stakeholders, and drives opportunities from qualification through closure and consumption growth. Collaborates with account teams, solution engineers, customer success, services organizations, and partners while managing forecasts, competitive positioning, executive engagement, and pipeline development.

Design polished, user-centric mobile and web interfaces for BJAK's AI and financial products. Create wireframes, flows, prototypes and high-fidelity UI. Maintain and evolve the design system, ensure accessibility and responsiveness, collaborate with PMs and engineers for pixel-perfect implementation, and iterate using user feedback and analytics.

Leads strategic partnership development and market growth initiatives in Japan. Builds and manages partnership pipelines, identifies acquisition and collaboration opportunities, assesses strategic fit, supports negotiations and deal execution, and develops senior stakeholder relationships. Provides market intelligence, competitive analysis, and data-driven growth recommendations while coordinating with global strategy, product, proposition, legal, and technology teams. The role also engages government and industry stakeholders and supports Japan leadership with strategic planning and corporate initiatives.

Lead the technical aspects of Japan-region sales cycles by supporting sales teams, prospects, and customers; delivering demonstrations, workshops, and PoCs; responding to RFPs; and translating customer needs to Product and Engineering. Drive localized technical adoption and customer success while bridging Japanese business practices with global best practices. Build enterprise relationships and support regional business development activities.

Leads data utilization and AI adoption in Japan by translating business needs into reusable data products and scalable analytics solutions. Designs integrations across CRM, marketing, cloud warehouse, and BI environments; establishes data governance, quality, access, security, and privacy standards; manages delivery priorities and risks; promotes adoption through training and monitoring; and coaches team members while collaborating with business, technical, regional, global, and external partners.

Develop enterprise AI transformation engagements by advising C-suite stakeholders, identifying high-value use cases, qualifying opportunities, structuring Statements of Work, negotiating scope and commercial commitments, and expanding strategic customer relationships. Partner with engineers, researchers, account executives, legal, and marketing to deliver production AI systems, manage deployment readiness, and feed customer and market insights into product strategy.

Embed with customers to discover and prioritize business problems, design and implement LLM/agent-based AI solutions, deploy in enterprise environments, measure outcomes scientifically, and act as liaison to product teams. Requires hands-on engineering, prompt engineering, agent and eval framework development, and periodic onsite collaboration (20–50%).

Leads go-to-market activation for Microsoft AI business solutions in Japan, accelerating revenue, pipeline growth, customer adoption, and field execution. Partners with sales, marketing, consulting, customer success, and partners to develop market plans, optimize processes and tools, activate sales signals, drive demand generation, analyze performance, and provide product and competitive insights. Requires Japanese and English fluency and extensive marketing, sales enablement, business planning, or business development experience.

Design, deploy, and scale production AI systems and applications. Responsibilities include building data pipelines, tuning and hardening models, collaborating with researchers, engineers, and product managers, monitoring live models, tracking AI advances, conducting code reviews, and owning solutions end to end amid changing priorities.

Research and develop novel AI models, algorithms, and systems; validate them through rigorous experiments and large-scale distributed training; and transition prototypes into production. The role involves deep learning, LLM pre-training and alignment, efficient GPU/TPU utilization, scientific analysis, technical writing, mentoring, code and paper reviews, open-source contributions, and end-to-end project ownership.

Leads Anthropic’s Applied AI Solutions Architecture team in Japan, managing Solutions Architects and Product Engineers while driving enterprise adoption of Claude products and APIs. Owns technical pre-sales strategy, customer use-case scoping, demonstrations, proof-of-concepts, ROI validation, and AI solution architecture. Partners with Sales, Product, and Engineering teams, develops GTM strategies, supports strategic customers and channel partners, represents Anthropic externally, and promotes safe, reliable AI adoption.