Top Artificial Intelligence Jobs in Tokyo

Provides technical and domain expertise during enterprise sales cycles for ServiceNow solutions. Leads discovery workshops, product demonstrations, strategic customer sessions, and technical discussions. Partners with sales, product management, marketing, channel partners, and professional services to position solutions, build pipeline, address customer needs, provide product feedback, and support revenue goals. Also contributes to competitive analysis, reusable consulting assets, and marketing events.

Leads a customer success team managing a portfolio of ServiceNow customers. Drives platform adoption, technical health, deployment progress, license utilization, and customer outcomes. Removes roadblocks, resolves escalations, assigns activities, develops success plays and customer use cases, and guides junior team members. Requires strategic problem-solving, team leadership, AI-related process experience, ServiceNow or industry certifications, Japanese fluency, and authorization to work in Japan.

Lead Japan hotel market strategy and a ~50-person team to exceed commercial targets. Build C-level partner relationships, set OKRs and KPIs, drive data-driven improvements to site performance and traveler experience, cultivate leaders, and represent Expedia Group at senior industry events across Japan and APAC.

Apply and validate ML and LLM systems to extract clinical information from unstructured medical notes, develop and productionize ML-derived datasets, collaborate with clinicians and engineers, perform dataset performance analyses, and provide analytic support to cross-functional stakeholders.

Customer-facing technical expert who advises enterprises on secure AI adoption. Drive discovery, architecture, demos, proofs of concept, and technical validation for AI/security opportunities. Translate AI and security concepts to stakeholders, collaborate with Sales/Product/Engineering, build reusable demos and enablement, and support enterprise deployments, governance, and risk mitigation for GenAI and LLM-based solutions.

Serve as UL GMA's primary cybersecurity regulatory expert: advise on regulations and standards, lead cybersecurity knowledge strategy and service development, support market access across countries, represent UL in external forums, and provide high-value strategic guidance to leaders and customers.

Drive AI-enabled transformation sales for education organizations in Japan. Engage executives and technology leaders, identify business challenges, and develop Microsoft 365 Copilot, Copilot Studio, and Agents solutions. Lead customer engagements from opportunity development through deployment, adoption, and value realization. Build long-term relationships, develop pipeline, forecast opportunities, coordinate with solution engineers and partners, and support measurable customer outcomes and responsible AI adoption.

Lead planning, deployment, optimization, and operational support of CrowdStrike Falcon's AI/ML detection and response capabilities. Configure/tune models, develop automation playbooks and Falcon API integrations, troubleshoot AI-related issues, support incident response and threat hunting, deliver AI workshops, and collaborate on customer-facing AI collateral. Travel up to 25% required.

Manage key accounts, lead sales from consideration to deployment, analyze account metrics, collaborate with teams, and support onboarding.

Drive sales of engineering services and technical solutions by building customer relationships, identifying business opportunities, collaborating with engineering teams to define solutions, leading meetings, preparing technical proposals and contracts, and monitoring market trends to ensure customer satisfaction.

Lead sales enablement and operations for Azure by advising leadership, developing fiscal strategies, orchestrating cross-functional initiatives, driving rhythm of business, and operationalizing solution-led sales motions to accelerate cloud and AI adoption.

Lead AI Decisioning for Braze Japan, supporting sales as a technical SME and driving post-sale adoption. Deliver demos, discovery workshops, AI education, data integrations (Snowflake/Databricks/BigQuery), experimentation design, technical troubleshooting, and strategic business reviews to optimize AI-driven marketing outcomes.

Lead AI Engineer responsible for converting business ideas into production AI-enabled products end-to-end: run discovery workshops, define MVPs, design cloud/agentic solutions, lead Python data pipelines and LLM orchestration, implement CI/CD and containerized deployments, ensure production handover, and coach/guide engineering teams while aligning stakeholders.

Build, test, deploy, and maintain AI-enabled applications: prototype and deliver Python services, data pipelines, LLM orchestration, CI/CD and cloud deployments, and operational runbooks while collaborating with stakeholders and cross-functional teams.

Build, prototype, and deploy AI-enabled applications: develop Python services, data pipelines, LLM orchestration, CI/CD and containerized deployments, and collaborate with stakeholders to translate business needs into production-ready AI features while ensuring testing, monitoring, documentation, and operational readiness.

Build, prototype, and deploy AI-enabled applications: develop Python services, data pipelines, LLM orchestration, CI/CD and containerized deployments, collaborate with stakeholders, and ensure operational readiness with documentation and testing.

Lead pre-sales discovery and solution design for AspenTech APM across Oil & Gas and Chemicals in Japan. Engage customers, build platform-based solutions (APM, data historian, APC, MES, Data Fabric), create proposals and scopes, support sales campaigns, and drive pipeline with technical and business value articulation. Frequent travel within Japan and regional/global engagements.

Lead design and delivery of digital products and analytics for public affairs and communications in Japan. Embed AI, automation, and social listening into workflows, drive adoption, manage vendors, build dashboards and research, and translate insights into measurable reputation and engagement outcomes while aligning with global standards.

Lead and manage key Financial Services accounts in Japan, drive enterprise sales from pipeline to deployment, own consumption revenue targets and forecasts, coordinate cross-functional teams to execute complex customer programs, provide industry insights, and support team growth and culture.

Develop and maintain GPU-accelerated CFD solver capabilities and AI-ready simulation components. Implement APIs, CI/CD, automated testing, and integrations for AI-enabled workflows. Debug complex issues, collaborate across distributed teams, and contribute to long-term platform architecture and documentation.

Responsible for planning and producing SEO optimized blog content in Japan, leveraging AI tools to enhance content quality and conversion performance.

Senior Azure-focused sales specialist for public sector customers. Lead account strategy, drive AI- and cloud-enabled transformations, manage partners, pipeline, and forecasts, and mentor team members to achieve long-term customer value and sales targets.

Lead senior executive engagements and originate strategic cloud and AI transformation partnerships in financial services. Drive cross-functional teams and third-party alliances to design and close multi-year, market-making agreements that deliver measurable business impact.

Consult on enterprise AI governance: design policies, risk frameworks and controls (NIST AI RMF, ISO/IEC 42001, EU AI Act), implement agent lifecycle, data/ID controls and Purview-based data protections, secure Copilot/Azure AI deployments, run risk assessments/PoC governance transitions, and advise executives on AI governance roadmaps.

Lead enterprise AI transformation and cloud modernization sales for a designated global technology customer. Identify strategic business challenges, build ROI-driven Azure solutions, coordinate internal and partner resources, develop closing strategies, and manage territory pipeline using MCEM. Engage C-level stakeholders, scope PoCs, and expand co-sell opportunities via Azure Marketplace to drive measurable business outcomes.