Artificial Intelligence Engineer
Technology
Topcoder1 month ago
Service contractOn-site
Job description
Location: United States (Remote)
Work Timings: 8AM PST - 5PM PSTExperience: 10+ years in IT, 4+ years relevant to job description
Overview
We 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.Responsibilities
- Design and implement AI-powered customer experience solutions using Gemini CX, including agent architectures, agentic workflows, and multimodal AI applications
- Build, configure, and deploy conversational agents, virtual assistants, and orchestrated agentic workflows in production environments
- Develop secure integrations between Gemini CX and enterprise systems, applications, APIs, databases, and third-party platforms
- Design and implement secure API architectures and integration patterns, including telecom legacy system integrations and user authentication protocols
- Build custom tooling, automation frameworks, orchestration workflows, and deployment accelerators to accelerate customer implementations
- Develop data pipelines, telemetry, monitoring, and observability capabilities for deployed solutions
- Collaborate with customer engineering, product, and business teams to translate business requirements into production-ready solutions
- Troubleshoot deployment issues and optimize solution performance in production environments
- Partner with Google Cloud and solution delivery teams on architecture and deployment strategy
- Support customer workshops, solution design sessions, proof-of-concepts, and production rollouts
- Hands-on, production-grade experience with Gemini Customer Experience (Gemini CX) and agentic AI frameworks
- Demonstrated expertise in agent architecture design and multi-agent orchestration
- Strong backend integration experience, including telecom and legacy system integrations
- Proficiency in secure API architecture design and implementation, including user authentication protocols
- Experience building data pipelines and implementing telemetry and monitoring solutions
- Proven ability to work autonomously on complex technical initiatives and mentor enterprise customer teams
- Experience working directly with enterprise customers in a consulting or technical services environment
- Strong communication and problem-solving skills with the ability to translate business requirements into technical solutions
- Production-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 platforms
- Google Cloud certifications (GCP, Gemini CX, CES, CCAI, or Architecture/Development focused)
- Participation in the Google GECX Bootcamp or equivalent training program
- Domain expertise in telecommunications or Communications Service Providers (CSPs)
- Experience building AI-driven customer engagement solutions in production environments
Keywords
artificial-intelligencecyber-intelligenceperformance-support-toolsinformation-technologyjob-descriptionsplanning-and-designvisual-art-designproduct-development-and-designcustomer-experience-and-engagementgeminimultimodal-aivirtual-assistantconversational-aiapplication-programming-interface-apitelecomauthenticationservice-management-and-orchestration-smoacceleratorsdata-pipelineobservability
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