> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt.

# Customer Solutions Engineer

Canonical URL: https://nextmove.md/fde/jobs/c8d0adf6eae8c09e

Google posts a FDE role to build what the customer runs in Austin, TX, at $127,000–$183,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Customer Solutions Engineer designing and delivering enterprise Generative AI solutions across the Google Cloud stack. Read from the employer’s posting on November 8, 2026.

- [Google](https://nextmove.md/fde/companies/google)

First seen Oct 12, 2026 · open on Google careers as of Nov 8, 2026

**$127,000–$183,000** + equity Austin, TX Full-time

Customer Solutions Engineer designing and delivering enterprise Generative AI solutions across the Google Cloud stack.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fc8d0adf6eae8c09e&placement=top)
- [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/127197753796108998)

Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so.

## At a glance

### Posted base pay

$127K–$183K Below the median

Midpoint $155K · median $190K

This job $127K to $183K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K.

[Compare pay across all Google postings](https://nextmove.md/fde/salary/google)

### The work

Builds what the customer runs

Balance **Mostly building**

Project stages

1. Pre-sales
2. Proof of concept
3. Implementation
4. Operations (not covered)

- **Coding**: Writes production code

- **Builds for**: Both

- **Level**: Senior

- **Role**: Individual contributor

### What they ask for

Experience

- **3+ years** Job offered or Customer Solutions Engineer-related occupation with a bachelor's degree in a listed related field
- **1+ years** Job offered or Customer Solutions Engineer-related occupation with a master's degree in a listed related field, as an alternative to the bachelor's degree and 3-year path
- **1+ years** Applied machine learning using Vertex AI; AI/ML frameworks such as TensorFlow or PyTorch; large-scale model training and fine-tuning with accelerators including Vertex AI; ML model performance and cost optimization; and systems design for data/ML pipelines, training, and serving

Background

- **Solutions and customer engineering**
- **Implementation and data engineering**

### Do you meet what the posting states?

The posting asks for 1+ years. How many do you have?

The posting reads as a senior role. What level are you at now?

The job is in Austin, TX. Could you work there?

Which of these have you used in production?

Answer each one. Nothing is saved or sent.

[What postings ask for, by background →](https://nextmove.md/fde/paths)

## Conditions

- **Location**: Austin, TX

- **Employment type**: Full-time

- **Pay**:

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## The job description from Google

### About the job

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $127,000 - $183,000 + 15% bonus target + equity + benefits determined by role, level, and location. Individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Learn more about benefits at Google.

### Responsibilities

- Advise customers on their business objectives to design and architect comprehensive Generative AI-driven solutions using the full Google Cloud stack.
- Demonstrate Google Cloud's value by developing application prototypes, tuning models for optimal performance, and troubleshooting complex technical issues.
- Engineer end-to-end solutions by scoping requirements, writing production-quality code, and ensuring compliance with engineering and data policies.
- Create reusable technical assets, including scripts, templates, and reference architectures, to accelerate adoption for both customers and internal teams.
- Collaborate cross-functionally with product and strategy teams to influence platform direction by advocating for enterprise customer requirements. Engage in account business planning to identify new opportunities and coordinate with leadership to deliver technical enablement for field and partner organizations.

### Qualifications

### Minimum qualifications:

- Bachelor’s degree in Computer Science, Information Systems, Computer Engineering, or a related field and 3 years of experience in the job offered or in a Customer Solutions Engineer-related occupation.
- Alternatively, will accept a Master’s degree in Computer Science, Information Systems, Computer Engineering, or a related field and 1 year of experience in the job offered or in a Customer Solutions Engineer-related occupation.
- Position requires 1 year of experience in the following: Applied machine learning techniques (including deep learning, natural language processing, computer vision, or pattern recognition) using VertexAI; Using AI/ML frameworks such as TensorFlow or PyTorch; Training and fine-tuning large scale models with accelerators including VertexAI; Performance and cost optimization for machine learning models; and Systems design for data and ML pipelines, and ML training and serving approaches.

[View posting at Google](https://www.google.com/about/careers/applications/jobs/results/127197753796108998)

## About Google

Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini.

Public · 5000+ people

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- [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior)
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