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Job Description

  • Partner with Account teams and Practice Customer Engineer (CEs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDE engagement requests.
  • Lead upfront technical design for enterprise-grade AI solutions, ensuring seamless and secure integration of models, agents, and connectors into existing customer data pipelines, identity providers, and compliance boundaries.
  • Dive into code-level context to diagnose and resolve complex customer implementation issues, identify core product bugs, and test workarounds to clear execution roadblocks.
  • Serve as the definitive liaison to core Product and Engineering teams, troubleshooting systemic deployment blockers and translating real-world field feedback into actionable feature requests.
  • Steer implementation strategy through technical authority and architectural foresight while owning the technical reality of delivery alongside customer-facing teams.

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 7 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
  • Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript), and in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Ability to communicate in Bahasa Indonesia fluently, to support client relationship management in this region.

Preferred qualifications:

  • Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
  • Experience orchestrating specialized technical resources to execute complex builds.
  • Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
  • Excellent executive communication skills, capable of translating deep technical integration issues into business impact.
  • Bachelor’s degree or equivalent practical experience.
  • 7 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience with technical delivery strategies and interfacing with product or engineering organizations.
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), cloud infrastructure, or AI/ML model deployments.
  • Experience reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript), and in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Ability to communicate in Bahasa Indonesia fluently, to support client relationship management in this region.
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  • Role AI Outcome Customer Engineer, Google Cloud (Bahasa Indonesia)
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location Singapore
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Google
AI Research Lab · 500+ Members · Mountain View, CA, United States

Google builds internet, software, cloud, and AI products used by consumers, developers, and organizations. Its portfolio includes Search, YouTube, Android, Chrome, Maps, Gmail, Workspace, Google Cloud, advertising platforms, devices, and Gemini AI products. The company develops large-scale computing infrastructure and research that power information retrieval, communication, productivity, media, navigation, and machine learning. Google is the largest operating business within Alphabet and earns a substantial share of its revenue from digital advertising.

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Job Overview
Eligibility
Singapore Right to work in Singapore required.
Workplace
On-site
Job Posted:
2 days ago
Job Type
Full Time
Education
Bachelor Degree, or equivalent experience
Experience
3-4 years

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