AI Outcome Engineer - Forward Deployed Delivery

Google

Sunnyvale (CA)

On-site

USD 152,000 - 221,000

Full time

10 days ago

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Job summary

Google Cloud is seeking an AI Outcome Customer Engineer within the GTM AI Tech organization. You will act as an enterprise architect, technical debugger, engineering liaison and delivery manager to bridge pre-sales and post-sales work.

You will ensure solutions are shaped for adoption, rapid activation, and viable delivery within our AI portfolio and Vertex AI platform. Join us to influence architectural decisions, collaborate with DeepMind minds, and lead the technical realization of complex AI

Qualifications

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 (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.

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 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.