AI Outcome Customer Engineer II, Forward Deployed Engineering

Google•Atlanta, GA

3d•$152,000 - $221,000

About The Position

As an AI Outcome Customer Engineer in Google Cloud’s go-to-market AI Tech organization, you will work as an enterprise architect, technical debugger, engineering liaison, and technical delivery manager. You will bridge pre-sales agreement shaping and post-sales execution, joining strategic AI accounts during technical evaluation to shape solutions around adoption, rapid activation, and viable delivery. Aligned with the Forward Deployed Engineering organization, you will architect how technical assets integrate into customers’ IT ecosystems, including connectors, identity, data residency, and legal constraints. The role is part of Google Cloud’s Go-To-Market team, supporting businesses with Google’s AI portfolio, including Gemini models and the Vertex AI platform. You will work collaboratively and have access to DeepMind engineering and research teams to address customer challenges.

Requirements

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 in either system design or reading code, such as Java, C++, or Python.
Experience in system design or orchestration frameworks, such as LangGraph, AutoGen, or CrewAI.
Experience with enterprise integrations (APIs, enterprise content management systems, or identity), cloud infrastructure, or AI/ML model deployments.

Nice To Haves

Experience investigating novel technical problems, resolving ambiguity, diagnosing bugs, and developing credible architectural solutions.
Experience coordinating specialized technical resources to execute complex builds.
Experience engaging with, presenting to, and influencing technical stakeholders or executive leaders.
Excellent executive communication skills, including translating complex technical integration issues into business impact.

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 Forward Deployed Engineering engagement requests.
Lead upfront technical design for enterprise-grade AI solutions, ensuring secure integration of models, agents, and connectors into customers’ data pipelines, identity providers, and compliance boundaries.
Investigate code-level context to diagnose and resolve complex customer implementation issues, identify product bugs, and test workarounds to remove execution roadblocks.
Serve as the liaison to Product and Engineering teams, troubleshoot systemic deployment blockers, and translate 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.