info_outline
X This posting is for a new vacancy.
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 jobAs 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. Entering the agreement cycle during the technical evaluation phase for strategic AI accounts, you will ensure that solutions are shaped strictly through the lens of adoption, rapid activation, and viable delivery. 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).
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.
