Front Deployment Engineer (FDE) - GECX ServiceWe are defining a new archetype of 'Front Deployed Engineering Team' that is AI-enabled and capable of handling a broad set of functional and technical skills. Unlike previous conversational systems based on intent detection, this team will deliver the next generation of agentic solutions using Generative AI.Location: Must-have: Silicon Valley CaliforniaTeam: Applied AI - CX Agent StudioRole Summary: We are seeking a Front Deployment Engineer who represents a new archetype of AI-enabled engineer. Unlike legacy conversational agent roles, this position requires deep technical capability aligned with the CPSE (Cloud Professional Services Engineer) job profile.
You will travel up to 50% of the time to customer or engineering sites, delivering front-end, back-end, and cloud technologies across storage, compute, and network layers. You will serve as the hands-on technical expert, pivoting from legacy systems to advanced Generative AI frameworks.Note: The skills for this role are aligned with the SCE (Strategic Cloud Engineer) profile that may exist in your organization, particularly the App Modernization, Infrastructure, and AI/ML teams. We intend to train and scale through that team only.Key ResponsibilitiesFull Stack & Agentic Delivery: Deliver comprehensive solutions across front-end, back-end, and cloud technologies.
Utilize Generative AI (Gemini preferred) and common frameworks (ADK, LangChain, etc.) to build production-grade agents.Customer Engineering & Advocacy: Navigate complex customer organizations and handle objections with high levels of empathy. Be strongly opinionated and morally grounded in the face of extreme opposition to drive technical success.Legacy Migration: For specific migration projects, leverage experience in Google DialogFlow, CCAI, and Telephony/CCaaS to transition customers from legacy architectures to GECX Service.Rapid Prototyping & Problem Solving: Instinctively solve blocking customer scenarios in minutes or hours (e.g., "Code an eval pipeline in Python," "Build an audio connector using streaming APIs") without external reliance, leveraging Gemini as a force multiplier.Core CompetenciesEngineering Depth (CPSE Profile): Coding skills equivalent to L3 SWE (any language). IMPORTANT: Non-coders / non-CPSE profiles should be excluded from consideration.AI/ML Fluency: Deep familiarity with Generative AI, ADK, and agentic frameworks.Customer Resilience: Ability to handle extreme opposition and navigate complex organizational dependencies.QualificationsMinimum Qualifications:Coding Proficiency: Proven coding skills equivalent to an L3 Software Engineer (working examples/repos required for review).Language Skills: Fluency in English plus one major regional language.Travel: Willingness to travel up to 50% of the time to remote locations.Cloud Experience: Experience delivering greenfield customer Cloud Foundations on GCP.Preferred Qualifications:Certification: Cloud Professional certification on Cloud Infrastructure.Framework Experience: Working experience with ADK (Agent Development Kit).Legacy Knowledge: Experience with Google DialogFlow and CCAI (specifically for migration roles).Portfolio: Visible code repositories or examples of agents built on modern frameworks.