AI Cloud Solutions Engineer — Retail Innovator

Google

Singapore

On-site

SGD 180,000 - 260,000

Full time

14 days+

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Job summary

Google Cloud is seeking an Advanced AI Customer Engineer in Singapore to accelerate adoption of AI workloads. You will partner with technical sales to differentiate Google Cloud and deliver customer-focused AI demos, proofs-of-concept, and prototypes.

You will solve AI-centered issues, engage with executives, and collaborate with product/engineering to share insights and improve offerings. Strong communication and presentational skills are essential.

Qualifications

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 10 years of cloud native architecture experience in customer-facing roles.
  • Experience integrating AI models using agents with enterprise data sources (RAG, Text-to-SQL, semantic search).
  • Coding in Python, JavaScript/TypeScript, Go, or Java to demo or prototype integrations.

Responsibilities

  • Drive technical solutions for complex AI workloads to enable rapid adoption with sales support.
  • Develop customer-tailored solutions combining sales strategy with prototyping and demos.
  • Provide deep technical consultation and build lasting customer relationships.
  • Document and prioritize customer feature requests with Product and Engineering.
  • Travel to customer sites and events as required, representing Google Cloud publicly.

Skills

Cloud native architecture
AI integration patterns
Coding languages (Python/JS/TS/Go/Java
Stakeholder engagement

Education

Bachelor's degree in technical field

Tools

LangGraph
Semantic Kernel
ADK (Google AI Agent Development Kit)
OpenAPI
MCP (Model Context Protocol)

Job description

Google Cloud is seeking an Advanced AI Customer Engineer in Singapore to accelerate adoption of AI workloads. You will partner with technical sales to differentiate Google Cloud and deliver customer-focused AI demos, proofs-of-concept, and prototypes.

You will solve AI-centered issues, engage with executives, and collaborate with product/engineering to share insights and improve offerings. Strong communication and presentational skills are essential.

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