Outcome Customer Engineer, Cloud AI, Google Cloud - Singapore

Google; Singapore; On-site; SGD 150,000 - 210,000; Full time

Job summary

Google Cloud’s Go-To-Market team invites you to lead the AI revolution for businesses worldwide. You’ll work as an Outcomes Customer Engineer bridging pre‑sales to post‑sales, delivering enterprise AI solutions with security and scale, and collaborating with DeepMind engineers to unlock customer value.

You’ll architect designs, diagnose complex deployments, and coordinate with product and engineering teams to turn customer challenges into practical, impactful deployments across data pipelines,

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 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.

Responsibilities

• Partner with Account teams and practice Customer Engineers 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.
• 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 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.

Skills

Cloud native architecture

Enterprise integrations

APIs

Identity providers

AI/ML deployments

System design

Education

Bachelor’s degree or equivalent

Tools

LangGraph

AutoGen

CrewAI

Job description

It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll excel by leveraging Google's brand credibility—a legacy built on inventing foundational technologies and proven at scale. We’ll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We’re a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era—the market is yours.

As an Outcome Customer Engineer, you will work as an enterprise architect, technical debugger, engineering liaison, and technical delivery manager. You will bridge the gap between pre‑sales agreement shaping and post‑sales execution, entering the agreement cycle for AI accounts to ensure solutions are shaped for rapid activation and viable delivery. Aligned with our Forward Deployed Engineering (FDE) organization, you will help make sure these technical assets effectively fit within the customer's overall IT ecosystem.

Qualifications

Job responsibilities

• Partner with Account teams and practice Customer Engineers (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.
• 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 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 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.