AI Outcome Customer Engineer, Forward Deployed Engineering

MINIMUM 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.

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 in our go-to-market (GTM) AI Tech

organization, 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. Aligned with our Forward Deployed

Engineering (FDE) organization, you will 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 excel by leveraging 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.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

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.