Architect - Google GECX AI Platform

ClifyX

Charlotte (NC)

On-site

USD 165,000 - 248,000

Full time

2 days ago

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Job summary

ClifyX Inc. seeks a senior Architect to design and implement secure, scalable Google Gemini Enterprise customer experiences.

You will lead hands-on architecture and coding for GECX across voice, chat, web, and mobile—building PoCs, integrating IVR, CRM, and APIs, and guiding teams to production readiness. Ideal candidates bring deep GCPC/CCAI expertise, experience with Dialogflow CX, Vertex AI, Gemini, and strong Python/Java capabilities, plus a legacy of delivering enterprise-scale solutions

Qualifications

12+ years in solution architecture and engineering, including enterprise contact center, conversational AI, or AI/ML delivery.
Hands-on experience with Google CCAI, CX Agent Studio, Dialogflow CX, Vertex AI, Gemini, and GCP.
Experience building agentic voice or chat solutions using LLMs, tooling, grounding and enterprise integrations.
Strong contact center knowledge: IVR, CTI, routing, queues, transfers, SIP, ANI/DNIS, DTMF, STT/TTS, and CRM/backend integration.
Proficient in Python and/or Java, REST/JSON APIs, SQL, Git, CI/CD, and cloud troubleshooting.

Responsibilities

Architect end-to-end GECX solutions across voice, chat, web, mobile, and assisted-service journeys.
Translate contact center needs into architecture, designs, integration patterns, and delivery plans.
Evaluate options (Google-native, CCaaS, open-source), recommending secure, scalable, cost-effective solutions.
Build and deploy Agentic Voice and Chat solutions using CX Agent Studio, Dialogflow CX, Vertex AI, Gemini, and GCP.
Design multi-turn conversations, prompts, orchestration, tool calls, grounding, and human-agent handoffs.
Integrate with IVR, telephony, CCaaS, CRM, APIs, databases, and enterprise systems (SIP/SIPREC, gRPC, WebRTC).
Lead hands-on coding, PoCs, CI/CD, deployment, and production stabilization.
Define AI evaluation for task success, grounding, guardrails, tool use, and agent trajectory.

Skills

Solution architecture

Enterprise contact center

GECX / CCAI

Dialogflow CX

Vertex AI

Gemini

GCP

Python/Java

CI/CD

APIs / REST

Stakeholder communication

Team leadership

Education

Bachelor’s degree in Computer Science or Engineering

Google Cloud certification (Professional Cloud Architect or equivalent)

Tools

Cloud Run

Cloud Functions

BigQuery

Cloud Storage

IAM

Job description

Job Title: Architect - Google GECX AI Platform

Location: Charlotte, NC

Duration: 12+ month Contract

JOB DESCRIPTION:

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.