> 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 Canonical URL: https://nextmove.md/fde/jobs/e6ee1ac89337dd30 Google posts a FDE role to build what the customer runs in New York, NY and 8 more, at $174,000–$252,000 base, above the senior FDE median of $190,000 across 1,864 postings with pay. An embedded Google Cloud engineer who codes and ships customer-specific generative AI systems, taking agentic applications from prototype to production. Read from the employer’s posting on November 8, 2026. - [Google](https://nextmove.md/fde/companies/google) First seen Sep 2, 2026 · open on Google careers as of Nov 8, 2026 **$174,000–$252,000** *annualized* New York, NY +8 An embedded Google Cloud engineer who codes and ships customer-specific generative AI systems, taking agentic applications from prototype to production. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Fe6ee1ac89337dd30&placement=top) - [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/127965694384841414) 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 $174K–$252K Above the median Midpoint $213K · median $190K This job $174K to $252K. 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 3. Implementation 4. Operations (not covered) - **Coding**: 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** ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The job is in New York, NY · Austin, TX · +7 more. 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**: New York, NY · Austin, TX · Chicago, IL · Detroit, MI · Houston, TX · San Francisco, CA · Cambridge, MA · Addison, TX · Reston, VA ## More like this [Google](https://nextmove.md/fde/companies/google) ### [Forward Deployed Engineer III, Generative AI, Google Cloud](https://nextmove.md/fde/jobs/f930c687b863b8e1) Pittsburgh, PA 8d ago $174,000–$252,000 [Capgemini](https://nextmove.md/fde/companies/capgemini) ### [Senior GECX AI Forward Deployed Engineer - Lead Software Engineer](https://nextmove.md/fde/jobs/ec29b95b982a0af0) Atlanta, GA · Nashville, TN · +3 more Hybrid 3w ago $117,930–$223,591 [Indicium AI](https://nextmove.md/fde/companies/indicium-ai) ### [Forward Deployed AI Engineer](https://nextmove.md/fde/jobs/626f9f4c8619387b) New York, NY 3mo ago $180,000–$240,000 - [Other jobs at Google (23)](https://nextmove.md/fde/companies/google) ## 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 rigorous 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 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 posting at Google](https://www.google.com/about/careers/applications/jobs/results/127965694384841414) ## About Google Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini. Public · 5000+ people ## Similar jobs [Scale AI](https://nextmove.md/fde/companies/scale-ai) ### [Frontier Agents Engineer (Forward Deployed Engineering)](https://nextmove.md/fde/jobs/aa082644713e92d5) San Francisco, CA · New York, NY · +1 more 5mo ago $180,000–$225,000 [Trinity Life Sciences](https://nextmove.md/fde/companies/trinity-life-sciences) ### [Manager, AI Engineering](https://nextmove.md/fde/jobs/2cf90d00f404007a) New York, NY · Princeton, NJ 4w ago $148,000–$222,000 [Booz Allen](https://nextmove.md/fde/companies/booz-allen) ### [AI Solution Architect, Lead](https://nextmove.md/fde/jobs/068318be8b35c243) Mclean, VA 3w ago $112,800–$257,000 [Defense Unicorns](https://nextmove.md/fde/companies/defense-unicorns) ### [Senior Platform Engineer (FedD239)](https://nextmove.md/fde/jobs/2d80b4f518bdc61d) Springfield, VA Remote 5w ago $148,750–$201,250 [Accenture](https://nextmove.md/fde/companies/accenture) ### [Full Stack Forward Deployed Engineering Manager](https://nextmove.md/fde/jobs/22c678035fc1bf46) Arlington, VA · Milwaukee, WI · +35 more 2mo ago $80,400–$316,300 - [Compare senior FDE salary ranges](https://nextmove.md/fde/salary/senior) - [Similar jobs in New York metro](https://nextmove.md/fde/jobs?region=nyc-metro) - [Similar jobs that build what the customer runs](https://nextmove.md/fde/jobs?role=builds-for-customers) Hiring at Google and want this page changed or removed? 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