Top Artificial Intelligence Jobs in Tokyo

The Director, Strategic Response and Recovery leads high-stakes customer support for Japanese clients, managing escalations, sentiment analysis, and cross-functional resolution efforts, while enhancing stakeholder relationships and operational goals.

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.

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

The role involves optimizing RTB campaign performance using data-driven strategies, collaborating with teams to improve algorithms, and shaping go-to-market strategies.

Drive adoption and growth of the FICO Platform through partner relationships and enterprise sales. Educate partners and clients on decision management, analytics, and AI capabilities, shape solution proposals with internal teams, manage quotas, and travel to support partner engagements.

The Account Director will drive business opportunities, manage sales cycles, engage with enterprise clients, and lead customer initiatives related to AI deployment.

The Commercial Account Manager will drive sales opportunities for HPE Networking's Mist AI solutions, collaborate with partners, and leverage technical sales expertise to influence stakeholders and develop solutions that align with business needs.

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

The Senior Contracts Analyst drafts, reviews, and negotiates various agreements to support sales, procurement, and partner relations in Japan, South Korea, and Taiwan.

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

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.

Design and deliver GenAI and Agentic AI solutions for pharma clients, involving data pipelines, AI models, and client-specific integrations across cloud platforms.

As an AI Support Engineer, you will resolve complex issues, provide technical guidance, support customers with AI product adoption, and improve operational processes through scripting and automation.

Manage and grow F5 sales to national government/public accounts (central ministries and agencies) in Tokyo. Lead full sales cycle from prospecting to close, develop territory and account plans, coordinate partners and internal teams, deliver presentations/workshops, maintain accurate forecasts in Salesforce, and meet quarterly revenue targets.

Design and build production-quality AI agents, LLM applications, RAG systems and automation to improve onboarding, KYC, risk review, support, CRM and operations. Work with product and engineering teams to rapidly ship, evaluate and iterate reliable, secure, and compliant AI-enabled workflows while managing latency, cost, hallucination risk and user trust.

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.

Drive innovation in post-training methodologies for AI models, focusing on agentic behaviors, tool use, and enhancing model capabilities for real-world applications.

As an AI Research Engineer, you'll optimize model deployment and inference architectures for AI systems, enhancing performance across various applications, especially on resource-constrained devices. Responsibilities include designing efficient serving architectures, conducting inference tests, and collaborating with teams to integrate solutions.

As an AI Research Engineer, you will develop multi-modal reinforcement learning systems, focusing on optimization across data modalities, conducting research on algorithms, and building infrastructure for scalable training and evaluation.

As an AI Research Engineer, you will optimize model serving and inference architectures, focusing on high-performance, resource-efficient solutions for AI systems across various deployment environments.

As an AI Research Engineer, you will develop and optimize vision-language models, managing the full model lifecycle from training to deployment, focusing on efficiency and innovation in multimodal architectures.

Partner with customers to design, prototype, and deploy AI-enabled cybersecurity workflows using OpenAI models and tooling. Lead discovery across AppSec, cloud security, SOC/IR, detection engineering, and vulnerability management, build demos and pilots, define success criteria and safety boundaries, and produce reusable playbooks and product feedback.

Hands-on internship supporting digital transformation and AI initiatives in Edwards Japan Quality team. Build and support AI-enabled applications and GenAI use cases, perform data analysis and visualization, identify automation opportunities, assist with pilots/POCs, collaborate cross-functionally, and document learnings and outcomes.

Embed with enterprise clients to design, build, and operationalize production agentic AI solutions. Scope use cases, write production code, integrate with enterprise systems, implement retrieval pipelines, guardrails, evaluation suites and observability, and manage cutover, handover, and escalation support while producing reusable patterns and architectures.

Lead technical SEO and Answer Engine Optimization (AEO) for Salesforce Japan: own site architecture, crawlability, indexing, structured data, internal linking, and page quality. Design AEO strategy for AI-powered answer engines, run data-driven experiments, build measurement frameworks, and scale SEO operations via AI workflows, automation, and cross-functional enablement to drive organic growth.