Top Artificial Intelligence Jobs in Osaka

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 statistical programming for clinical trials, integrated analyses, post-marketing studies, and Japan regulatory submissions. Coordinates study deliverables, budgets, schedules, CDISC-compliant submissions, and agency responses. Collaborates globally on programming standards, develops SAS macros and innovative R, Python, AI, and machine learning solutions, improves processes, and mentors junior colleagues.

Manage clinical trial and post-marketing study activities as the primary statistician, providing input on study design, statistical methods, results interpretation, regulatory submissions, integrated analyses, and agency responses. Collaborate with global stakeholders, manage budgets and schedules, improve statistical tools and methods using programming, AI, and machine learning, and mentor junior colleagues.

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.

Lead the AI Quality engineering team while remaining hands-on building evaluation infrastructure, observability tooling, diagnostic systems, datasets, annotation workflows, and CI/CD pipelines for production AI agents. Run experiments across prompts, models, routing, caching, and agent harnesses to improve quality, latency, and cost. Partner with AI Core engineering and manage technical direction and team priorities.

Drive new enterprise business and expand existing customer relationships across Japan West. Build pipelines, manage sales cycles, develop account strategies, engage C-level decision-makers, deliver value propositions, lead internal virtual teams, close cybersecurity solutions opportunities, and accurately forecast results while meeting individual quotas.

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.

Drives adoption, onboarding, value realization, and renewals across complex Cisco technology deployments. Creates and executes technical adoption plans, leads customer workshops and enablement sessions, analyzes telemetry and usage data, builds labs and reusable scripts, and advises stakeholders on technical solutions. Partners with sales, customer success, product, and service teams to resolve product challenges, influence enhancements, and improve customer outcomes. Mentors colleagues and leads strategic customer experience initiatives.

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.

Serve as Cisco’s technical authority for Customer Experience and CCaaS solutions in Japan. Lead technical discovery, solution architecture, proof-of-value demonstrations, customer presentations, and strategic sales engagements. Advise customers on Webex Contact Center, omnichannel routing, AI, WFM, QM, CRM, automation, and cloud deployments. Mentor SEs, build customer and partner relationships, and provide market feedback to product and engineering teams.

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.

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 implements AI agent solutions centered on Microsoft 365 Copilot, Copilot Studio, and related platforms. Advises customers on business requirements, architecture, deployment, adoption, ROI, and change management. Supports customer success, collaborates with sales and presales teams to identify expansion opportunities, shares reusable knowledge, provides product feedback, and maintains expertise in AI agents and Microsoft technologies.

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.

Drive presales activities for Cisco’s portfolio across commercial customers in Japan. Collaborate with sales teams and partners, influence technical decision-makers, develop architecture strategies, conduct technical validations and PoCs/PoVs, lead workshops, create business opportunities, execute technical campaigns, and share strategies across Japan and APJC.

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.

AI/ML Engineers will build and deploy AI-native products, autonomous agents, LLM applications, RAG systems, and production ML pipelines. Responsibilities may include integrating AI into crypto infrastructure and consumer products, fine-tuning and evaluating models, optimizing inference, and developing agentic workflows and machine-to-machine payment systems. Engineers will work end-to-end with high-ownership teams in fast-moving environments.

Leads strategic enterprise sales for Cisco AI infrastructure solutions, building relationships with IT leaders, business units, CXOs, and decision-makers. Develops account strategies, competitive displacement plans, consultative architecture proposals, and integrated hardware, SaaS, and cloud solutions. Leads PoC and PoV engagements, technical discussions, forecasting, and bill-of-materials development. Collaborates with solution engineers, account teams, business units, and product development to align customer needs with Cisco offerings and influence product roadmaps.