AI Outcome Customer Developer, Forward Deployed Development

Google Canada; Toronto; On-site; CAD 198,000 - 202,000; Full time

Benefits offered by this job

Equity

Bonus target 20%

Benefits package

Job summary

Google in Toronto, Ontario, Canada, seeks an AI Outcome Customer Developer for Forward Deployed Development to drive enterprise-grade AI solutions across the full technical lifecycle. You will collaborate with account teams and Customer Developers during the technical evaluation phase, shaping proposals and ensuring rapid, viable delivery of Gemini models and Vertex AI integrations.

You will communicate complex technical challenges to executives, translate field feedback into actionable

Qualifications

• Bachelor's degree or equivalent practical experience.
• 7 years of experience with cloud native architecture in a customer-facing or support role.
• Technical delivery strategy experience with interfacing with product or development organisations.
• System design or code proficiency in languages such as Java, C++, or Python.
• Orchestration framework experience with LangGraph, AutoGen, or CrewAI.
• Enterprise integration experience covering APIs, ECMs, identity, Cloud infrastructure, or AI/ML model deployments.
• Executive communication skills capable of translating deep technical integration issues into business impact (preferred).
• Experience orchestrating specialised technical resources to execute complex builds (preferred).

Responsibilities

• Partner with account teams and practice Customer Developers during technical evaluation phases to assess feasibility and shape long-term adoption proposals.
• Lead upfront technical design for enterprise-grade AI solutions ensuring secure integration of models, agents, and connectors into data pipelines and identity providers.
• Diagnose and resolve complex customer implementation issues at the code level and test workarounds to clear roadblocks.
• Serve as liaison to core Product and Engineering teams, troubleshooting deployment blockers and translating field feedback into feature requests.
• Steer implementation strategy through technical authority while owning the technical delivery reality with customer teams.

Skills

Cloud native architecture

Technical delivery strategy

System design / code proficiency

Orchestration frameworks

Enterprise integrations

Executive communication

Resource orchestration

Education

Bachelor's degree

Tools

LangGraph

AutoGen

CrewAI

Job description

Google Cloud's Go-To-Market AI Tech organization is hiring an AI Outcome Customer Developer, Forward Deployed Development based in Toronto, Ontario. This is a senior technical role sitting at the intersection of enterprise architecture, pre-sales technical evaluation, and post-sales delivery — a rare combination that puts you at the centre of Google's AI revolution for businesses worldwide.

Working alongside account teams and Customer Developers during technical evaluation phases, you'll shape how enterprise-grade AI solutions — including frontier Gemini models and the complete Vertex AI platform — actually integrate into complex customer IT ecosystems. From connectors and identity providers to data residency and legal compliance constraints, your fingerprints will be on the technical reality of delivery.

About the Role: AI Outcome Customer Developer

As an AI Outcome Customer Developer aligned with Google's Forward Deployed Development (FDD) organization, you act simultaneously as an enterprise architect, technical debugger, development liaison, and delivery manager. You enter the agreement cycle during the technical evaluation phase for strategic AI accounts, ensuring solutions are shaped through the lens of adoption, rapid activation, and viable delivery. You bridge the gap between pre-sales agreement shaping and post-sales execution — a critical function for Google Cloud's most strategic customers.

This role demands genuine depth: you'll dive into code-level context to diagnose complex implementation issues, serve as the definitive liaison to core Product and Engineering teams, and translate real-world field feedback into actionable feature requests. You'll also need to communicate seamlessly with executive stakeholders, translating deep technical integration challenges into clear business impact narratives.

Benefits and Salary

This position offers a base salary range of $198,000 – $202,000 CAD per year, plus a 20% bonus target, equity, and a comprehensive benefits package. For full details on Google's benefits programme, visit Google's careers benefits page.

Job Details

Company: Google

Location: Toronto, ON, Canada

Pay: $198,000 – $202,000 CAD/year + 20% bonus target + equity + benefits

Responsibilities

This role spans the full technical lifecycle of Google Cloud's most strategic AI engagements. Day to day, you'll be equally at home reviewing architecture diagrams, debugging integration code, and presenting to C-suite executives. The breadth of ownership here is significant — and intentional.

• Partner with account teams and practice Customer Developers 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
• Diagnose and resolve complex customer implementation issues at the code level, 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

Requirements / Skills

Google is looking for a deeply technical professional who can operate credibly at both the architectural and code levels, while also influencing executive stakeholders and shaping enterprise strategy. Strong communication skills are just as important as technical depth in this role.

• Bachelor's degree or equivalent practical experience
• 7 years of experience with cloud native architecture in a customer-facing or support role
• Technical delivery strategy experience with interfacing with product or development organisations
• System design or code proficiency in languages such as Java, C++, or Python
• Orchestration framework experience with tools such as LangGraph, AutoGen, or CrewAI
• Enterprise integration experience covering APIs, enterprise content management (ECMs), identity, Cloud infrastructure, or AI/ML model deployments
• Executive communication skills capable of translating deep technical integration issues into business impact (preferred)
• Experience orchestrating specialised technical resources to execute complex builds (preferred)

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, identity), Cloud infrastructure, or AI/ML model deployments.