> Markdown version of [/jobs/ext/1490594-forward-deployed-engineer-iv-google-public-sector](https://www.wearedevelopers.com/jobs/ext/1490594-forward-deployed-engineer-iv-google-public-sector). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer IV, Google Public Sector - **Company:** Google LLC - **Location:** Reston, VA, United States - **Experience:** Expert - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Continuous Integration, Information Engineering, Software Debugging, Global Positioning Systems (GPS), Python (Programming Language), Rapid Prototyping Process, Software Engineering, Unstructured Data, Google Cloud, ReactJS, Large Language Models, Multi-Agent Systems, Generative AI, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Programming Languages - **Published:** July 29, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9064859/forward-deployed-engineer-iv-google-public-sector ## About the Role * Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. * 8 years of experience with software development using Python or similar coding languages. * Experience 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 Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions. * Experience leading technical discovery sessions with customers. * Must possess an active Top Secret/SCI security clearance with current polygraph. * 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 complex patterns (e.g., ReAct, self-reflection, 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 Large Language Model (LLM) native metrics (e.g., 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. ## Description As a part of the Google Public Sector Forward Deployed Engineering (GPS FDE) team, you will join squad of "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. You will operate with a high-agency startup mindset, where engineers don't just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside customers. You will resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. You will help the GPS FDE team accelerate the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.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. * 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 (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. ## Related Videos - [AI Agents & Agentic AI](https://www.wearedevelopers.com/videos/2017-ai-agents-agentic-ai) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Watch Tests Go Brrrr! : Getting Started with Cypress in ReactJS](https://www.wearedevelopers.com/videos/282-watch-tests-go-brrrr-getting-started-with-cypress-in-reactjs) - [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way) - [Making Data Warehouses fast. A developer's story.](https://www.wearedevelopers.com/videos/302-making-data-warehouses-fast-a-developer-s-story) - [Instant KAI Sandboxes with vCluster: Multi-Tenant, Multi-Scheduler GPU Sharing](https://www.wearedevelopers.com/videos/100333-instant-kai-sandboxes-with-vcluster-multi-tenant-multi-scheduler-gpu-sharing) ## Related Articles - [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)