> 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.

# AI Customer and Partner Solutions Engineer, Cloud Applied AI

Canonical URL: https://nextmove.md/fde/jobs/7c6b3d59186ae60b

Google posts a FDE role to build what the customer runs in Kirkland, WA and 1 more, at $183,000–$265,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. This customer- and partner-facing solutions engineering role delivers agentic AI from architecture and prototyping through production across multiple strategic global customer deployments. Read from the employer’s posting on November 8, 2026.

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

First seen Oct 20, 2026 · open on Google careers as of Nov 8, 2026

**$183,000–$265,000** *annualized* Kirkland, WA +1

This customer- and partner-facing solutions engineering role delivers agentic AI from architecture and prototyping through production across multiple strategic global customer deployments.

- [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F7c6b3d59186ae60b&placement=top)
- [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/107783028444406470)

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

$183K–$265K Above the median

Midpoint $224K · median $190K

This job $183K to $265K. 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 (not covered)
2. Proof of concept (not covered)
3. Implementation
4. Operations

- **Coding**: Writes production code

- **Builds for**: External customers

- **Level**: Senior

- **Role**: Technical lead

### What they ask for

Experience

- **8+ years** customer-facing technical roles focused on enterprise systems
- **3+ years** writing code in one or more programming languages

Background

- **Software engineering**
- **Solutions and customer engineering**

### Do you meet what the posting states?

The posting asks for 3+ years. How many do you have?

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

The job is in Kirkland, WA · Sunnyvale, CA. Could you work in one of these?

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**: Kirkland, WA · Sunnyvale, CA

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## The job description from Google

### About the job

The Applied AI (AAI) team powers business growth with agentic AI. Our portfolio includes Gemini for Customer Experience along with vertical and domain-packaged solutions. We enable high adoption and speed to value by building solutions that deploy rapidly, delivering 0-to-1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders and engineering. Join us to shape the future of AI-driven customer experience in a fast-paced, collaborative, and high-impact environment.

As a AI Customer and Partner Solutions Engineer across multiple customer deployments, you are a high-visibility multiplier responsible for turning the promise of Agentic AI into production reality for Google’s most strategic global customers. You sit at the nexus of Product, Engineering, and the Customer, translating complex business friction into elegant, reasoning-based AI solutions.

In this role, you contribute to the end-to-end delivery of agentic solutions, working with a group of deployment specialists to implement best practices for delivering at scale and velocity. You are a builder, a strategic systems thinker, and a master of navigating complex technical and business challenges. You will be working with a group of deployment specialists while simultaneously incubating new products and defining the best practices that will enable the entire Google Cloud ecosystem.

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.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $183000 - $265000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

### Responsibilities

- Contribute to 0-to-1 solution engineering, architecture design, and debugging for complex agentic workflows.
- Be able to stress-test features to influence product roadmaps and implement evaluation frameworks.
- Pioneer architectural frameworks and authors reusable technical assets.
- Engage with C-suite stakeholders and manage cross-functional delivery teams across partner organizations.
- Mitigate high-stakes customer escalations, providing debugging and direct architectural guidance to customer engineering and C-suite teams.

### Qualifications

### Minimum qualifications:

- Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
- 8 years of experience in customer-facing technical roles (e.g., Solutions Architect, Forward Deployed Specialist, Principal Consultant) with a focus on enterprise systems.
- 3 years of experience writing code in one or more programming languages (e.g., Python, Java).
- Experience with Large Language Models (LLMs), prompt development, and conversational AI frameworks.
- Experience with conversational AI frameworks (LangChain, Agent Development Kit) and enterprise contact center technologies (Genesys, Twilio).

### Preferred qualifications:

- Master's degree in Engineering, Computer Science, or a related technical fields.
- Experience building and scaling complex production systems, working with multi-stakeholder technical projects, and with Google Cloud Platform (GCP) environment setup and cloud architecture.
- Experience with telecom customer deployments and other similar industries.
- Experience in technical consulting, navigating the governance, security, and procurement complexities.
- Ability to bridge the gap between LLM capabilities and deterministic enterprise systems (e.g., Salesforce, SAP).
- Ability to lead cross-functional teams and influence executive stakeholders in large, cross-functional organizations.

[View posting at Google](https://www.google.com/about/careers/applications/jobs/results/107783028444406470)

## 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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