> 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 Engineering Intern, BS/MS, Summer 2027 Canonical URL: https://nextmove.md/fde/jobs/acb6772e64dd876a Google posts a intern FDE role to build what the customer runs in Sunnyvale, CA and 2 more, at $98,000–$131,000 base, below the mid-level FDE median of $150,000 across 105 postings with pay. Build and productionize agentic AI applications, including multi-agent workflows and MCP servers. Read from the employer’s posting on November 6, 2026. - [Google](https://nextmove.md/fde/companies/google) First seen Oct 12, 2026 · open on Google careers as of Nov 6, 2026 **$98,000–$131,000** *annualized* Sunnyvale, CA +2 Internship Build and productionize agentic AI applications, including multi-agent workflows and MCP servers. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2Facb6772e64dd876a&placement=top) - [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/75665705386549958) 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 $98K–$131K Below the median Midpoint $115K · median $150K This job $98K to $131K. Mid-level FDE postings, 105 postings: the middle 50% of posted pay is $122K to $162K, median $150K. [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**: Mid - **Role**: Individual contributor ### Do you meet what the posting states? The posting reads as a mid-level role. What level are you at now? The job is in Sunnyvale, CA · New York, NY · +1 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**: Sunnyvale, CA · New York, NY · Reston, VA - **Employment type**: Internship ## More like this [Charta Health](https://nextmove.md/fde/companies/charta-health) ### [Software Engineer (FDE / Platform) - Intern](https://nextmove.md/fde/jobs/e25de0e0ad62dad9) San Francisco, CA On-site 2mo ago $83,200–$124,800 [Narmi](https://nextmove.md/fde/companies/narmi) ### [Software Engineer - Professional Services](https://nextmove.md/fde/jobs/6da7ec3092ab2c51) New York, NY Hybrid 2mo ago $91,000–$110,000 [PwC (US)](https://nextmove.md/fde/companies/pwc-us) ### [Forward Deployed Software Engineering - Experienced Associate](https://nextmove.md/fde/jobs/9b207d5311355e0b) New York, NY · Boston, MA · +1 more 2mo ago $63,000–$153,000 - [Other jobs at Google (23)](https://nextmove.md/fde/companies/google) ## The job description from Google ### About the job It’s an exciting time to join our Google Cloud Consulting team, leading the AI and cloud revolution for businesses worldwide. In this role, you’ll work hand-in-hand with our customers as an embedded builder, bridging the gap between frontier AI products and production-grade reality. We are looking for early-career, high-agency engineers with a founder’s mindset. Moving beyond high-level architecture, you will code, debug, and jointly ship bespoke agentic solutions directly within customer environments while helping solve integration, data readiness, and state-management challenges. Joining a collaborative culture with direct access to Google's engineering minds, you will act as an innovator-builder, providing white-glove deployment of complex AI systems and serving as a critical feedback loop to shape Google Cloud’s future product roadmap. Google is and always will be an engineering company. We hire people with a broad set of technical skills who are ready to address some of technology's greatest challenges and make an impact on millions, if not billions, of users. At Google, engineers not only revolutionize search, they routinely work on massive scalability and storage solutions, large-scale applications and entirely new platforms for developers around the world. From Google Ads to Chrome, Android to YouTube, Social to Local, Google engineers are changing the world one technological achievement after another. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $98000 - $131000 (USD) + 0% bonus target 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, MCP servers) that drive measurable ROI. - 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: - Currently pursuing a Bachelor's or Master's degree in Engineering, Computer Science, or a related technical field. - Experience with software development using Python or a similar coding languages. - Experience taking production-grade AI-driven solutions from conception to launch and architecting AI systems on cloud platforms (e.g., Google Cloud Platform (GCP)). - Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. ### Preferred qualifications: - Currently attending a degree program in the US and available to work full time for 12 weeks outside of university term time. - In their penultimate academic year or returning to a degree program after completion of the internship. - Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). - Experience leading technical discovery sessions. - Knowledge of Large Language Model (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/75665705386549958) ## About Google Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini. 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