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MINIMUM QUALIFICATIONS:
• Bachelor’s degree or equivalent practical experience.
* 3 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 (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 diving deep into novel technical problems, 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 Engineer, Forward Deployed Engineering, 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 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. In this role, you will be aligned with Forward Deployed
Engineering (FDE) organization, 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.
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.