Forward Deployed AI Engineer, Japan / Korea

Cloudera
Tokyo, Seoul
Workplace: RemoteFull timeFunction: Data Science & Machine LearningExperience: 5+ yearsSkills: ["Hands-on","Customer-facing","Ability to mentor","Collaborative mindset","High agency"]

Embed with Cloudera’s most strategic enterprise customers to pilot and productionize generative AI and agentic use cases. Build full-stack AI applications on Cloudera, partner with customer teams through prototype to readiness, and advise on AI roadmaps and deployment considerations. Codify repeatable solution patterns, mentor internal teams, and feed field signals back to product teams to improve Cloudera’s AI platform.

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FursaFursa
Cloudera
Cloudera
1 day ago

Forward Deployed AI Engineer, Japan / Korea

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Embed with Cloudera’s most strategic enterprise customers to pilot and productionize generative AI and agentic use cases. Build full-stack AI applications on Cloudera, partner with customer teams through prototype to readiness, and advise on AI roadmaps and deployment considerations. Codify repeatable solution patterns, mentor internal teams, and feed field signals back to product teams to improve Cloudera’s AI platform.
Location: Tokyo, Seoul
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Build and prototype full-stack AI applications on Cloudera to solve real enterprise use cases.
  • •Partner with strategic customer teams to take AI and agentic use cases from early prototype to production readiness.
  • •Advise customer leaders on AI roadmaps, use case prioritization, and deployment considerations aligned to business goals.
  • •Codify solution patterns into repeatable reference architectures, productized solutions, starter kits, and internal playbooks.
  • •Mentor Cloudera teams and channel field/customer signals back to product teams to improve the AI platform and products.

Pay and Benefits

Perks:Paid LeaveRemote WorkWellness StipendVolunteer TimeEmployee Resource

Key Requirements

  • •5+ years building and deploying production-grade systems, including 2-3 years building generative AI or agentic applications.
  • •Strong hands-on software engineering and applied AI/ML skills building full-stack AI applications or agentic systems.
  • •Experience with foundation models, context engineering, fine-tuning, semantic search, Retrieval-Augmented Generation (RAG), and agentic workflows.
  • •Deep understanding of LLMOps/MLOps practices including evaluation, observability, serving, monitoring, and lifecycle management.
  • •Experience designing scalable AI solution architectures aligned to enterprise standards (security, governance, compliance).
Experience:5+ yearsEnterpriseGenerative AIAI engineering
Skills:Hands-onCustomer-facingAbility to mentorCollaborative mindsetHigh agency
Tech Stack:ClouderaGenerative AIAgentic applicationsFoundation modelsContext engineeringFine-tuningSemantic searchRetrieval-Augmented Generation (RAG)Agentic workflowsLLMOpsMLOpsAWSAzureGCPSparkIcebergNiFiNVIDIA GPUsModel servingDistributed AI workloads

Company Brief

Cloudera
Provides a hybrid data platform for managing, analyzing, and securing enterprise data across cloud and on-premises environments, enabling machine learning, analytics, and data engineering at scale.
Industry: Data Infrastructure
Company Size: Enterprise (1,001+ employees)
Revenue: USD 500M to 1B
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 2008
Glassdoor
Glassdoor: 3.8
WebsiteLinkedIn