Google GECX AI Platform Architect

Experience building Agentic Voice or Agentic Chat solutions using LLMs, orchestration, tool/function calling, grounding, guardrails, and enterprise integrations. The ideal candidate will combine strong architecture design and coding expertise with deep Contact Center, Google GECX/CCAI, Conversational AI, Agentic AI, GenAI/LLM, and Google Cloud experience.

Job Title: Google GECX AI Platform Architect
Location: Charlotte, NC
Experience: 12 Years

Role Summary
We are seeking a senior, hands-on GECX Architect to design and implement secure, scalable customer experience solutions on Google Gemini Enterprise for Customer Experience platform. The ideal candidate will combine strong architecture design and coding expertise with deep Contact Center, Google GECX/CCAI, Conversational AI, Agentic AI, GenAI/LLM, and Google Cloud experience. This role requires an innovative architect who can build PoCs and accelerators, troubleshoot complex integrations, and take automation solutions from architecture through production implementation.
The architect will analyze requirements, compare solution options, recommend the best approach, guide the team, and personally resolve critical design, development, integration, and platform issues.

Key Responsibilities
Architect end-to-end GECX solutions across voice, chat, web, mobile, and assisted-service journeys.
Translate contact center needs into architecture, technical designs, integration patterns, and delivery plans.
Compare Google-native, CCaaS, open-source, and third-party tools; recommend options based on fit, security, scalability, cost, and risk.
Build and deploy Agentic Voice and Chat solutions using CX Agent Studio, Conversational Agents, Dialogflow CX, Vertex AI, Gemini, and GCP.
Design and implement multi-turn conversations, prompts, orchestration, tool calls, fulfillment, context handling, grounding, and human-agent handoff.
Design integrations with IVR, telephony, CCaaS, CRM, APIs, databases, and enterprise systems, including SIP/SIPREC, gRPC, and WebRTC where required.
Implement GCP components such as Cloud Run, Cloud Functions, BigQuery, Cloud Storage, IAM, logging, monitoring, and data protection services.
Working knowledge implementing Services, Components through GCP Stack like GCS, DLP Templates, Cloud Functions, Big Query etc.
Working experience with collecting and reviewing reporting data/logs from Google Logs Explorer (Stack Driver), Google Big Query, Avaya, GTP, MS SQL.
Lead hands-on coding, configuration, PoCs, troubleshooting, CI/CD, deployment, and production stabilization.
Define AI evaluation for task success, response quality, grounding, hallucinations, guardrails, tool use, and agent trajectory.
Guide teams, review designs and code, remove technical blockers, and ensure solutions reach production.

Required Skills & Technology
12 years in solution architecture and engineering, including enterprise contact center, conversational AI, or AI/ML delivery.
Hands-on expertise in GECX / Customer Engagement Suite, Google CCAI, CX Agent Studio / Conversational Agents, Dialogflow CX, Vertex AI, Gemini, and GCP.
Experience building Agentic Voice or Agentic Chat solutions using LLMs, orchestration, tool/function calling, grounding, guardrails, and enterprise integrations.
Strong contact center knowledge: IVR, CTI, routing, queues, transfers, SIP, ANI/DNIS, DTMF, STT/TTS, and CRM/backend integration.
Strong Python and/or Java skills, REST/JSON APIs, SQL, Git, CI/CD, cloud troubleshooting, IAM, and secure delivery.
Ability to conduct structured tool assessments, make architecture decisions, lead cross-functional teams, and communicate with client stakeholders. Strong verbal and written communication skills.
Ability to collaborate with onshore/offshore resources on functional/technical /process aspects.
This is not a governance-only role. The architect must remain hands-on and own critical solutions through production.

Preferred Qualifications
Google Cloud certification, preferably Professional Cloud Architect or a role-relevant equivalent.
Experience delivering large-scale CCaaS, contact center transformation, or production agentic AI programs.
Bachelor s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.