Google Agentspace SME

Charlotte - USA

Monthly Salary: Not Disclosed

Posted on: 24-09-2025

Vacancies: 1 Vacancy

Job Summary

Google Agentspace SME to join our team in Charlotte NC (Need Onsite day 1 hybrid 3 days from office).

Job Description:

We are seeking a highly experienced Google AgentSpace SME to lead the design implementation and optimization of conversational AI solutions using Googles AgentSpace platform. The ideal candidate will have deep expertise in Google Contact Center AI (CCAI) Dialogflow CX Agent Assist and NLP/NLU technologies and will play a key role in transforming customer engagement through intelligent virtual agents and automated workflows.

Responsibilities:

Serve as the Subject Matter Expert for Google AgentSpace and CCAI implementations.
Design and develop conversational AI solutions including chatbots voice bots and virtual assistants.
Collaborate with cross-functional teams to gather requirements and translate them into scalable AgentSpace solutions.
Provide architectural guidance and best practices for secure compliant and scalable deployments.
Integrate AgentSpace with contact center platforms (e.g. Genesys Avaya Cisco NICE) and backend systems via APIs.
Utilize Dialogflow CX Agent Assist and Speech-to-Text APIs to build intelligent workflows.
Conduct performance tuning monitoring and troubleshooting of deployed solutions.
Mentor developers and guide technical teams in implementing AI/ML-driven contact center solutions.
Prepare technical documentation design artifacts and operational support guides.

Requirements:

10 years of overall IT experience with 3 5 years in Conversational AI and Google CCAI platforms.
Hands-on experience with Google AgentSpace Dialogflow CX and Agent Assist.
Strong understanding of NLP NLU and AI/ML models used in conversational design.
Experience with Google Cloud Platform APIs microservices and cloud integration.
Proficiency in Python Java or for bot development and backend integration.
Familiarity with IVR platforms contact center technologies and omnichannel engagement.
Experience with CI/CD pipelines DevOps practices and monitoring tools.
Excellent communication and stakeholder management skills.

Preferred Qualifications:

Google Cloud certifications (e.g. CCAI Dialogflow Professional Cloud Architect).
Experience in banking/financial services or other regulated industries.
Knowledge of data security compliance and governance standards in BFSI.

Google Agentspace SME to join our team in Charlotte NC (Need Onsite day 1 hybrid 3 days from office). Job Description: We are seeking a highly experienced Google AgentSpace SME to lead the design implementation and optimization of conversational AI solutions using Googles AgentSpace platfor...

Google Agentspace SME to join our team in Charlotte NC (Need Onsite day 1 hybrid 3 days from office).

Job Description:

Responsibilities:

Serve as the Subject Matter Expert for Google AgentSpace and CCAI implementations.
Design and develop conversational AI solutions including chatbots voice bots and virtual assistants.
Collaborate with cross-functional teams to gather requirements and translate them into scalable AgentSpace solutions.
Provide architectural guidance and best practices for secure compliant and scalable deployments.
Integrate AgentSpace with contact center platforms (e.g. Genesys Avaya Cisco NICE) and backend systems via APIs.
Utilize Dialogflow CX Agent Assist and Speech-to-Text APIs to build intelligent workflows.
Conduct performance tuning monitoring and troubleshooting of deployed solutions.
Mentor developers and guide technical teams in implementing AI/ML-driven contact center solutions.
Prepare technical documentation design artifacts and operational support guides.

Requirements:

10 years of overall IT experience with 3 5 years in Conversational AI and Google CCAI platforms.
Hands-on experience with Google AgentSpace Dialogflow CX and Agent Assist.
Strong understanding of NLP NLU and AI/ML models used in conversational design.
Experience with Google Cloud Platform APIs microservices and cloud integration.
Proficiency in Python Java or for bot development and backend integration.
Familiarity with IVR platforms contact center technologies and omnichannel engagement.
Experience with CI/CD pipelines DevOps practices and monitoring tools.
Excellent communication and stakeholder management skills.

Preferred Qualifications:

Google Cloud certifications (e.g. CCAI Dialogflow Professional Cloud Architect).
Experience in banking/financial services or other regulated industries.
Knowledge of data security compliance and governance standards in BFSI.