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Google

AI Outcome Customer Developer, Forward Deployed Development

Toronto, ON, Canada

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Job details

Experience: 7 years of experience with cloud native architecture in a customer-facing or support role.
Posting language: English
Posted: Oct 30, 2026

Original job description

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 development organizations.
Experience in either system design or reading code (e.g., Java, C++, Python).
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 into novel technical issues, 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.

About the job:

As an AI Outcome Customer Developer in our GTM AI Tech organization, you work as an enterprise architect, technical debugger, development liaison and technical delivery manager. You will bridge the gap between pre-sales agreement shaping and post-sales execution. You will enter the agreement cycle during the technical evaluation phase for strategic AI accounts, ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. As you are aligned with our Forward Deployed Development (FDD) organization, you will architect how these technical assets actually integrate into the customer's IT ecosystem (connectors, identity, data residency, legal constraints).It's an exciting time to join Google Cloud’s Go-To-Market team, leading the AI revolution for businesses worldwide. You’ll leverage 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. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Canada: $198000 - $202000 (CAD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

Partner with account teams and practice Customer Developers (CDs) during technical evaluation phases to assess project feasibility, shape proposals for long-term adoption, and validate FDD 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 developing 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.

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More about this job

Responsibilities

You will act as an enterprise architect and technical liaison, bridging the gap between pre-sales shaping and post-sales execution for strategic AI accounts. Responsibilities include leading technical design, diagnosing complex implementation issues, and translating field feedback into actionable product improvements.

Requirements

Candidates must have a bachelor's degree and at least 7 years of experience in cloud-native architecture within customer-facing roles. Proficiency in system design, coding, and enterprise-grade AI integration is required to succeed in this technical delivery position.

Skills

Cloud native architecture
System design
Java
C++
Python
LangGraph
AutoGen
CrewAI
Enterprise integrations
API development
AI/ML model deployment
Technical delivery
Executive communication
Debugging
Stakeholder management

Benefits

Bonus target
Equity
Health benefits

Visa sponsorship

Not detected in the job text

Keywords

Cloud native
Architecture
Java
C++
Python
LangGraph
AutoGen
CrewAI
API
Enterprise content management
Identity management
Cloud infrastructure
AI/ML
Vertex AI
Gemini models
Technical delivery
System design
Orchestration
Data pipelines
Compliance
Google Cloud
Go-To-Market
Enterprise architect
Debugging
Stakeholder management

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