AI Outcome Customer Engineer, Forward Deployed Engineering

MINIMUM QUALIFICATIONS:

* Bachelor’s degree or equivalent practical experience.

* 7 years of experience troubleshooting technical issues for internal/external

partners or customers.

* Experience in either system design or reading code (e.g., Java, C++, Python).

PREFERRED QUALIFICATIONS:

* Experience with enterprise integrations (APIs, enterprise content management

(ECMs), identity), Cloud infrastructure, and AI/ML model deployments.

* Ability to do in-depth search into novel technical problems, decipher extreme

ambiguity, diagnose bugs, and emerge with credible architectural solutions.

* Ability to translate deep technical integration issues into business impact.

* Excellent executive communication skills.

ABOUT THE JOB:

As an AI Outcome Customer Engineer, Forward Deployed Engineering, you will be

responsible for enterprise architect, technical debugger, and engineering

liaison. 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 accounts, you will ensure that solutions are

shaped strictly through the lens of adoption, rapid activation, and viable

delivery.

You will be overarching Enterprise Architect and Technical Delivery Manager

charting the course. You will also be responsible for technical design, systemic

debugging, Product and Engineering integration, and strategic Forward Deployed

Engineering (FDE) alignment. You will architect how these technical marvels

actually integrate into the customer's IT ecosystem (connectors, identity, data

residency, legal constraints) and drive the technical delivery strategy from

start to finish.

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: $183000 - $266000 (USD) + 20% 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 Engineer (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.