Top Artificial Intelligence Jobs in Yokohama

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

As an AI Data Expert, review and annotate AI-generated outputs, ensuring cultural relevance and accuracy. Contribute to AI training with original content and detailed feedback while working flexibly as an independent contractor.

Evaluate, annotate, and perform quality checks on multimodal AI-generated content (text, image, audio, video). Identify edge cases, ensure guideline compliance, contribute to dataset creation, participate in calibration and quality alignment, and provide feedback to improve annotation workflows and model training data.

Lead horizon scanning and external intelligence to identify AI and disruptive tech opportunities for R&D. Translate trends into actionable briefs, design and run pilots with stage-gates, and scale successful capabilities into production. Influence senior leadership with strategic foresight, build external partnerships, and embed a future-back innovation culture across cross-functional teams to measurably improve R&D outcomes.

Design and implement backend AI systems centered on LLMs and agentic workflows. Build AI agent orchestration (model/tool calling, multi-step reasoning, state management, error handling), integrate models, RAG, and inference services, optimize for high concurrency (streaming responses, async scheduling, caching, cost control), and collaborate with product, frontend, algorithm, and platform teams to deliver scalable AI capabilities.

Designs and implements AI, automation, and analytics solutions for supply chain. Develops data models, governance, reporting, and advanced analytics; collaborates with process owners to enable data-driven decisions and trains/supports business users.

Lead deployment and scaling of AI/ML models, agentic tools, and automation across R&D. Drive MLOps, platform integration, compliance, stakeholder partnerships, capability building, end-user support, and metrics tracking to deliver measurable value.

Develop AI-powered systems for supply chain workflows. Implement agentic AI features, build backend services, and support testing and validation for AI systems.

The Software Engineer in Test III will develop and execute automated tests, maintain testing tools, analyze defects, and ensure product testability within TraceLink's software solutions.

The Senior Software Engineer in Test builds and executes automated tests, develops testing tools, and collaborates on technical designs while ensuring system testability for the TraceLink platform.

Partner with sales to design and demo agentic, predictive, and generative AI solutions; build MVP agentic applications; lead PoV engagements; define enterprise integration, security, governance, and deployment requirements; advise on data readiness and compliance; and provide cross-functional feedback to product and go-to-market teams to accelerate AI adoption and production readiness.

Lead enterprise AI strategy, operating model, governance, platform enablement, and CoE to deploy safe, compliant, and scalable AI across R&D, Clinical, Manufacturing, Quality, Commercial, and Corporate functions in a regulated pharmaceutical environment.

The AI Solution Sales Specialist advises enterprise clients on leveraging AI for business transformation, guiding them from opportunity qualification to deal closure. This role involves driving the entire sales cycle, building business cases, and leading workshops with executives.

This role involves building and maintaining an AI-assisted Software Development Life Cycle platform, ensuring scalability and integration with enterprise systems. Responsibilities include designing infrastructure, managing CI/CD pipelines, and collaborating on technical architecture.

As a Forward Deployment Engineer, you will architect solutions for enterprise customers, lead technical engagements, develop platform expertise, and manage customer relationships to ensure successful AI infrastructure integration.

The Head of Product will lead the AIVM platform development, managing product strategy, execution, and cross-functional collaboration while focusing on AI and blockchain technologies.

Develop and maintain scalable backend services and APIs, collaborate with frontend developers, and lead new features and infrastructure improvements.

The AI Support Engineer II will provide customer support for the DataRobot AI Platform, troubleshoot complex issues, work with technical teams, and automate customer service processes, requiring strong communication skills in both Japanese and English.

As a Forward Deployed Engineer, you'll develop solutions integrating AI with customer workflows, build data insights, and guide technical adoption in client environments.

The role requires driving AI-driven solutions within customer teams, ensuring adoption of OutSystems capabilities, and delivering intelligent solutions while embedded in complex environments.