> 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.

# Forward Deployed Engineer III, Generative AI, Google Cloud, Healthcare

Canonical URL: https://nextmove.md/fde/jobs/39e8b118106e6d5e

Google posts a FDE role to build what the customer runs in Chicago, IL and 1 more, at $174,000–$252,000 base, above the senior FDE median of $190,000 across 1,878 postings with pay. Embeds with Google Cloud customers to build and ship production-grade generative AI and agentic applications, bridging Gemini and other AI products with live customer infrastructure. Read from the employer’s posting on November 13, 2026.

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

$174,000–$252,000

Above the median

- Chicago, IL +1
- 5+ years
- Posted today New Nov 13

Midpoint $213K, $23K above the median of 1,878 senior FDE postings. [Compare pay](https://nextmove.md/fde/salary/senior)

Embeds with Google Cloud customers to build and ship production-grade generative AI and agentic applications, bridging Gemini and other AI products with live customer infrastructure.

## The work

- **Kind of work**: Builds what the customer runs
- **Time split**: Mostly building ·
- **Project stages**: Proof of concept, Implementation ·
- **Code**: Writes production code ·
- **Builds for**: External customers
- **Level**: Senior ·
- **Role**: Individual contributor ·

## What they ask for

- **Experience**:

**5+ years** Software development using Python or similar coding languages

- **Background**: Software engineering
- **Location**:

**Chicago, IL · New York, NY**

- **Tools**: Python, Gemini, Vertex AI, GCP, MCP, LangGraph, CrewAI, ADK, vector databases, RAG

## The job description from Google

### About the job

As a GenAI Forward Deployed Engineer (FDE) at Google Cloud, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer’s environment.

This role is designed for high-agency engineers with a founder’s mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

### Responsibilities

- Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
- Architect and code the connective tissue between Google’s AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
- Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency.
- Identify repeatable field patterns and friction points in Google’s AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
- Co-build with customer engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

### Qualifications

### Minimum qualifications:

- Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
- 5 years of experience with software development using Python or similar coding languages.
- Experience architecting AI systems on cloud platforms (e.g., GCP).
- Experience taking production-grade AI-driven solutions from conception to launch for customers.
- Experience leading technical discovery sessions with customers.
- Experience building pipelines for structured and unstructured data using both vector databases and retrieval-augmented generation (RAG)-like architectures to power enterprise AI solutions.

### Preferred qualifications:

- Master’s degree or PhD in AI, Computer Science, or a related technical field.
- Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and patterns (e.g., ReAct, self-reflection, hierarchical delegation).
- Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.

- [View the posting at Google](https://www.google.com/about/careers/applications/jobs/results/81089096687985350)

## FDE jobs in New York metro

910 postings · 427 companies · read Nov 13, 2026

Median **$198,350** · middle half $167,500–$232,388

- [Rank these jobs by fit to you](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F39e8b118106e6d5e&placement=list)

### [Forward Deployed Engineer III, Generative AI, Google Cloud, Healthcare](https://nextmove.md/fde/jobs/39e8b118106e6d5e)

**Google** · Public · 5000+ people

**$174,000–$252,000** · Chicago, IL +1

Posted today New

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### [Forward Deployed Engineer, AWS Forward Deployed Engineering](https://nextmove.md/fde/jobs/7ecba7c7dee12d44)

**Amazon (incl AWS)** · Public · 5000+ people

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**Salesforce** · Public · 5000+ people

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### [Solution Architect/Forward Deployed Engineer (AI & Data Web Applications)_Contractor](https://nextmove.md/fde/jobs/dba8229d04cbabc4)

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### [Forward Deployed AI Engineer](https://nextmove.md/fde/jobs/f460691bfd21f9b0)

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**$200,000–$300,000** · New York, NY

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- [Show all 910 jobs](https://nextmove.md/fde/jobs?region=nyc-metro)

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