> 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, State and Local Government, Google Public Sector Canonical URL: https://nextmove.md/fde/jobs/07920020d186fcb3 Google posts a FDE role to build what the customer runs in New York, NY and 1 more, at $207,000–$300,000 base, above the senior FDE median of $190,000 across 1,849 postings with pay. Build and deploy production-grade agentic AI systems for State and Local Government customers, embedding with their teams to solve integration, data-readiness, security, and state-management challenges. Read from the employer’s posting on November 6, 2026. - [Google](https://nextmove.md/fde/companies/google) First seen Oct 30, 2026 · open on Google careers as of Nov 6, 2026 **$207,000–$300,000** *annualized* New York, NY +1 Build and deploy production-grade agentic AI systems for State and Local Government customers, embedding with their teams to solve integration, data-readiness, security, and state-management challenges. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F07920020d186fcb3&placement=top) - [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/90749541141095110) 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 $207K–$300K Above the median Midpoint $254K · median $190K This job $207K to $300K. Senior FDE postings, 1,849 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 - **8+ years** Building and shipping production-grade AI-driven solutions to external or internal customers Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 8+ 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 · Reston, VA. 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 · Reston, VA ## More like this [OpenAI](https://nextmove.md/fde/companies/openai) ### [Applied AI Engineer, Government ](https://nextmove.md/fde/jobs/d9287f0bb0c2c80f) Washington, DC Hybrid 2mo ago $211,000–$302,000 [Didero](https://nextmove.md/fde/companies/didero) ### [Senior Forward Deployed Engineer](https://nextmove.md/fde/jobs/f0cffa0668d774f5) New York, NY Hybrid 11d ago $180,000–$300,000 [YOOBIC](https://nextmove.md/fde/companies/yoobic) ### [Forward Deployed Engineer - New York](https://nextmove.md/fde/jobs/e8252e9d426c0243) New York, NY Hybrid 4mo ago $250,000 - [Other jobs at Google (23)](https://nextmove.md/fde/companies/google) ## The job description from Google ### About the job The Google Public Sector Forward Deployed Engineering (GPS FDE) team squad of "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. Operating with a high-agency startup mindset, our engineers don’t just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside our customers. We resolve complex integration, data sovereignty, and security issues within strict compliance frameworks. Ultimately, the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering. As a Forward Deployed Engineer (FDE) in Google Public Sector (GPS), 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 a 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 manage 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 serve a dual purpose: providing "white glove" deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into Google Cloud’s future product roadmap. This role will be focusing on the State and Local Government Market. Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $300000 (USD) + 20% 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, MCP servers) that drive measurable return on investment (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 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 Computer Science, Engineering, a related field, or equivalent practical experience. - 8 years of experience building and shipping production-grade AI-driven solutions to external or internal customers using Python, TypeScript or comparable languages. - Experience building scalable pipelines for structured, unstructured data, incorporating vector databases and RAG-like architectures to power enterprise-grade AI solutions. - Experience architecting scalable AI systems on cloud platforms. - Experience leading technical discovery sessions with executive stakeholders (C-suite) and engineering teams to define AI and hardware infrastructure requirements. ### 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, or Google’s ADK) and complex patterns like ReAct, self-reflection, and hierarchical delegation. - Proven experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource-constrained environments. - Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement CI/CD/CT automation and experimentation. - Knowledge of "LLM-native" metrics (tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. - Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics. [View posting at Google](https://www.google.com/about/careers/applications/jobs/results/90749541141095110) ## About Google Builds global consumer, ads, cloud, developer and AI platforms spanning Search, YouTube, Android, Workspace and Gemini. Public · 5000+ people ## Similar jobs [OpenAI Deployment Company](https://nextmove.md/fde/companies/openai-deployment-company) ### [Forward Deployed Engineer - US](https://nextmove.md/fde/jobs/465d1561603a9449) San Francisco, CA · New York, NY Hybrid 4mo ago $170,000–$400,000 [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 [Ramp](https://nextmove.md/fde/companies/ramp) ### [Software Engineer, Forward Deployed AI Solutions](https://nextmove.md/fde/jobs/f9197cc51191b917) New York, NY Hybrid 3mo ago $189,000–$330,000 [Quadrillion](https://nextmove.md/fde/companies/quadrillion) ### [Member of Technical Staff, Forward-Deployed Engineering](https://nextmove.md/fde/jobs/8ffe9f048f08a5d8) New York, NY On-site 4mo ago $175,000–$350,000 [Scale AI](https://nextmove.md/fde/companies/scale-ai) ### [Senior Mission Software Engineer, Public Sector](https://nextmove.md/fde/jobs/423f9f8c01b5b901) Austin, TX · Colorado Springs, CO · +4 more Hybrid 3mo ago $186,000–$279,000 - [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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