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AI Job Summary

Design and validate enterprise AI solutions for customers during technical evaluation and implementation phases, architecting integrations with data pipelines, identity systems, and compliance frameworks. Requires five years of cloud-native architecture experience in customer-facing roles, proficiency debugging code in languages like Java or Python, and familiarity with system orchestration frameworks such as LangGraph or AutoGen. Act as liaison between customers and product engineering teams to diagnose deployment issues, identify product bugs, and translate field feedback into feature requests.

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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.
  • 5 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 reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript)
  • Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.

Preferred qualifications:

  • Experience orchestrating specialized technical resources to execute complex builds.
  • Experience diving deep into novel technical problems, deciphering ambiguity, diagnosing bugs, and emerging with credible architectural solutions.
  • 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.
  • 5 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 reading or debugging code in a general purpose coding language (e.g., Java, Python, JavaScript)
  • Experience in system design or orchestration frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Experience with enterprise integrations (APIs, enterprise content management (ECMs), identity), Cloud infrastructure, or AI/ML model deployments.
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  • Role AI Outcome Customer Engineer, Google Cloud
  • Experience 3-4 years
  • Education Bachelor Degree, or equivalent experience
  • Work type On-site
  • Location Singapore
Check my match (free)
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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