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Google GECX AI Platform Architect
Job Location:
Job Location:
Charlotte, VT - USA
Monthly Salary:
Not provided by the employer
Monthly Salary:
Posted:
25 October 2026 (3 hours ago)
Posted:
Application Deadline:
22 January 2027
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
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.
Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience.
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.
Bachelors degree in Computer Science Engineering or a related field or equivalent practical experience.
Required Experience:
Staff IC
