Preferred Location Washington, DC metro area (Reston, VA area) / Remote
Preferred Qualifications:
One or more Google Cloud Professional certifications (e.g., Professional Cloud Architect, Professional Machine Learning Engineer, Professional Cloud Developer, Professional Data Engineer, or Professional Cloud Security Engineer)Hands-on experience with Vertex AI, Gemini, or other Google Cloud AI services Experience delivering in regulated or public sector environments (e.g., FedRAMP, FISMA, or similar compliance frameworks)Forward Deployed Engineers (FDEs) lead complex end-to-end deployments of frontier models in production alongside our most strategic customers. You will own discovery, technical scoping, system design, build, and production rollout, partnering directly with customer engineering and domain teams. You will measure success through production adoption, measurable workflow impact, and eval-driven feedback that changes product and model roadmaps. You'll work closely with our Product, Research, Partnerships, GRC, Security, and GTM teams. In This Role You Will Own technical delivery across multiple deployments from first prototype to stable production Build full-stack systems that deliver customer value and sharpen how we learn Embed closely with customer teams, understand their needs, and guide adoption of what you build Scope work, sequence delivery, and remove blockers early Make trade-offs between scope, speed, and quality; adjust plans to protect delivery Contribute directly in the code when progress or clarity depends on it Codify working patterns into tools, playbooks, or building blocks that others can use Share field feedback that helps Research and Product understand where the models succeed and where they can improve Keep teams moving through clarity and follow-through You Might Thrive in This Role IfYou bring 5+ years of engineering or technical deployment experience that includes customer-facing work You have scoped and delivered complex systems in fast-moving or ambiguous environments You write and review production-grade code across frontend and backend using Python, Java Script, or comparable stacks You have built or deployed systems powered by LLMs or generative models and understand how model behavior affects product experience You simplify complexity and make fast, sound decisions under pressure You communicate clearly with engineers, product teams, and customer stakeholders You spot risks early and adjust without slowing down You model calm and judgment when the stakes are high
