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Google AgentSpace SME

Google AgentSpace SME

Ravin IT SolutionsCharleston, SC, US
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Job Description

Job Description

Job Title : Google AgentSpace SME

Location : Charlotte, NC (F2F interview / Loacls / Onsite role)

Client : Financial Domain

Experience : 10+ Years

Type : Contract

Interview Process :

Mandatory in-person interview at Charlotte, NC .

Job Summary

We are seeking a highly experienced Google AgentSpace SME with 10+ years of IT experience, including expertise in Google Contact Center AI (CCAI), AgentSpace, Conversational AI, NLP, and Virtual Agent platforms . The SME will play a key role in designing, implementing, and optimizing conversational solutions for Wells Fargo, ensuring seamless customer interactions, automation, and improved digital engagement.

Key Responsibilities

Act as the Subject Matter Expert (SME) for Google AgentSpace / Google CCAI implementation and integration.

Design, build, and enhance conversational AI solutions including chatbots, voice bots, and virtual assistants.

Collaborate with business, product, and technical stakeholders to gather requirements and translate them into scalable AgentSpace solutions.

Provide architecture guidance and best practices for Google AgentSpace deployment, including security, compliance, and scalability.

Work with Google Dialogflow CX, Agent Assist, and Speech-to-Text APIs to build intelligent workflows.

Integrate AgentSpace with contact center platforms (Genesys, Avaya, Cisco, NICE, etc.) , back-end systems, and APIs.

Conduct performance tuning, monitoring, and troubleshooting of AgentSpace solutions.

Mentor developers and guide the technical team in implementing AI / ML-driven contact center solutions .

Prepare documentation, technical designs, and operational support guides .

Required Skills & Qualifications

10+ years of overall IT experience with at least 3-5 years in Conversational AI / Google CCAI platforms .

Strong hands-on experience with Google AgentSpace, Dialogflow CX, and Agent Assist .

Knowledge of NLP, NLU, and AI / ML models used in conversational design.

Experience with APIs, microservices, and cloud integration (GCP preferred) .

Familiarity with IVR platforms, contact center technologies, and omnichannel customer engagement .

Proficiency in Python, Java, or Node.js for bot development and backend integration.

Experience with CI / CD pipelines, DevOps practices, and monitoring tools .

Strong communication skills with ability to work across business, operations, and technical teams .

Previous experience working in banking / financial services domain is a strong plus.

Preferred Skills

Google Cloud Platform (GCP) certifications (CCAI, Dialogflow, Professional Cloud Architect).

Experience with financial institutions .

Knowledge of data security, compliance, and governance standards in BFSI.

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Sme • Charleston, SC, US

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