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AI Outcome Customer Engineer II, Forward Deployed Engineering

Google, Los Angeles, California +7

Posted pay

$152K–$221K

a year

Location: Los Angeles, California +7
Work type: Onsite
Level: Not given
Experience: 5+ years
Skills in the job text: Python
Java
C++
Posted: 19 days ago
Last check: 5 days ago
Job type: Solutions engineering, Software engineering

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Google

About Google: funding, hiring and pay

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The role

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/].

What you will do

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.

What you need

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.

Nice to have

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.

Read the job posting on the Google site

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Source: the company job board. We last checked this job 5 days ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now.

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Google

Open tech jobs: 681
With posted pay: 74%
Median posted base: $174K–$252K

About Google: funding, hiring and pay

Compared with similar jobs

This base pay is near the median for solutions engineering jobs in the Bay Area with no level in the job title.

Median: $193K a year
Other jobs in the group: 321

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.