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Forward Deployed AI Engineer, Singapore (Senior/Principal Level)

Cloudera Singapore Pte. Ltd. · Singapore

About this role

Cloudera’s Forward Deployed Engineering team works within Applied AI to help strategic enterprise customers pilot and operationalize AI. This Singapore-based, hybrid role embeds with customers to design use cases and deliver scalable AI/ML solutions on Cloudera.

Responsibilities

  • Build and prototype full-stack AI/ML applications that demonstrate enterprise uses for AI and agentic systems. Partner with customer teams to move use cases from early prototypes toward production readiness.
  • Advise technical and executive customer leaders on AI roadmaps, solution architecture, deployment and use-case design. Turn successful work into repeatable reference architectures, productized solutions, starter kits and internal playbooks.
  • Mentor Cloudera teams, contribute enablement resources and relay field and customer feedback to Product teams to improve the AI platform and products.

Qualifications

  • 7+ years building and deploying production-grade systems, including 2–4 years building ML systems or GenAI/agentic applications.
  • Hands-on software engineering, data engineering and applied AI/ML experience, including full-stack ML applications or agentic systems built with modern AI frameworks and tools.
  • Experience with foundation models, context engineering, fine-tuning, semantic search, RAG and agentic workflows. Understand LLMOps/MLOps practices such as evaluation, observability, serving, monitoring and lifecycle management.
  • Ability to design scalable AI architectures consistent with enterprise security, governance and compliance standards; engage technical and executive customers; work autonomously in ambiguous environments; and collaborate and mentor others.

Additional experience that may be useful includes AWS, Azure or GCP; the Cloudera platform; open-source big-data technologies such as Spark, Iceberg or NiFi; and AI infrastructure such as NVIDIA GPUs, inference optimization, model serving or distributed AI workloads. Stated benefits include PTO, Unplugged Days, flexible work-from-home, wellness programs, phone and internet reimbursement, career development, paid volunteer time and employee resource groups.

Skills for this role

Software engineeringData engineeringMachine learningGenerative AIFull-stack developmentAI agentsFoundation modelsContext engineeringFine-tuningSemantic searchRetrieval-Augmented Generation (RAG)Agentic workflowsLLMOpsMLOpsModel evaluationObservabilityModel servingMonitoringAI solution architectureSecurityGovernanceComplianceCustomer engagementTechnical strategyMentorshipAWSAzureGoogle Cloud PlatformClouderaApache Spark

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