Artificial Intelligence Engineer

Location: United States (Remote)Work Timings: 8AM PST - 5PM PSTExperience: 10+ years in IT, 4+ years relevant to job descriptionOverviewWe are seeking an experienced Forward Deployed Engineer (FDE) to work directly with enterprise customers and Google Cloud teams on designing, building, and deploying AI-powered customer experience solutions using Gemini Customer Experience (Gemini CX). You will act as a senior autonomous contributor driving complex initiatives while mentoring client teams on modern agentic frameworks. This role combines strong software engineering fundamentals with hands-on expertise in conversational AI, agent architectures, and enterprise solution delivery.ResponsibilitiesDesign and implement AI-powered customer experience solutions using Gemini CX, including agent architectures, agentic workflows, and multimodal AI applicationsBuild, configure, and deploy conversational agents, virtual assistants, and orchestrated agentic workflows in production environmentsDevelop secure integrations between Gemini CX and enterprise systems, applications, APIs, databases, and third-party platformsDesign and implement secure API architectures and integration patterns, including telecom legacy system integrations and user authentication protocolsBuild custom tooling, automation frameworks, orchestration workflows, and deployment accelerators to accelerate customer implementationsDevelop data pipelines, telemetry, monitoring, and observability capabilities for deployed solutionsCollaborate with customer engineering, product, and business teams to translate business requirements into production-ready solutionsTroubleshoot deployment issues and optimize solution performance in production environmentsPartner with Google Cloud and solution delivery teams on architecture and deployment strategySupport customer workshops, solution design sessions, proof-of-concepts, and production rolloutsRequirementsHands-on, production-grade experience with Gemini Customer Experience (Gemini CX) and agentic AI frameworksDemonstrated expertise in agent architecture design and multi-agent orchestrationStrong backend integration experience, including telecom and legacy system integrationsProficiency in secure API architecture design and implementation, including user authentication protocolsExperience building data pipelines and implementing telemetry and monitoring solutionsProven ability to work autonomously on complex technical initiatives and mentor enterprise customer teamsExperience working directly with enterprise customers in a consulting or technical services environmentStrong communication and problem-solving skills with the ability to translate business requirements into technical solutionsNice to HaveProduction-grade experience with Google Enterprise CX tools such as Dialogflow CX, CX Agent Studio, SCRAPI, Agent Assist, or Contact Center as-a-Service (CCaaS)Baseline knowledge of Customer Engagement Suite (CES), Contact Center AI (CCAI), or related Google customer engagement platformsGoogle Cloud certifications (GCP, Gemini CX, CES, CCAI, or Architecture/Development focused)Participation in the Google GECX Bootcamp or equivalent training programDomain expertise in telecommunications or Communications Service Providers (CSPs)Experience building AI-driven customer engagement solutions in production environmentsSkillsGemini CX, Conversational AI, Agent Architecture, Agentic AI, API Design, Backend Integration, Secure Authentication, Data Pipelines, Telemetry and Monitoring, Dialogflow CX, Enterprise Integration, Customer Engagement, Problem Solving, Technical Leadership, Mentoring