

Synergyassure Inc
SAP Basis Migration Experience with Visual Enterprise Generator(VEG)
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Google AgentSpace SME with a contract length of "unknown," offering a pay rate of "unknown." Key skills include Google CCAI, Dialogflow CX, NLP/NLU, and experience in banking/financial services. Proficiency in Python, Java, or Node.js is required.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
520
-
ποΈ - Date
October 4, 2025
π - Duration
Unknown
-
ποΈ - Location
Unknown
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#AI (Artificial Intelligence) #GCP (Google Cloud Platform) #SAP #Cloud #Python #Java #Compliance #NLU (Natural Language Understanding) #Documentation #Migration #DevOps #Microservices #Security #Monitoring #Data Security #Deployment #ML (Machine Learning) #NLP (Natural Language Processing) #"ETL (Extract #Transform #Load)" #Scala
Role description
We are seeking a highly experienced Google AgentSpace SME to lead the design, implementation, and optimization of conversational AI solutions using Googleβs 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:
β’ Serve as the Subject Matter Expert for Google AgentSpace and CCAI implementations.
β’ Design and develop conversational AI solutions including chatbots, voice bots, and virtual assistants.
β’ Collaborate with cross-functional teams to gather requirements and translate them into scalable AgentSpace solutions.
β’ Provide architectural guidance and best practices for secure, compliant, and scalable deployments.
β’ Integrate AgentSpace with contact center platforms (e.g., Genesys, Avaya, Cisco, NICE) and backend systems via APIs.
β’ Utilize Dialogflow CX, Agent Assist, and Speech-to-Text APIs to build intelligent workflows.
β’ Conduct performance tuning, monitoring, and troubleshooting of deployed solutions.
β’ Mentor developers and guide technical teams in implementing AI/ML-driven contact center solutions.
β’ Prepare technical documentation, design artifacts, and operational support guides.
Requirements:
β’ 10+ years of overall IT experience, with 3β5 years in Conversational AI and Google CCAI platforms.
β’ Hands-on experience with Google AgentSpace, Dialogflow CX, and Agent Assist.
β’ Strong understanding of NLP, NLU, and AI/ML models used in conversational design.
β’ Experience with Google Cloud Platform, APIs, microservices, and cloud integration.
β’ Proficiency in Python, Java, or Node.js for bot development and backend integration.
β’ Familiarity with IVR platforms, contact center technologies, and omnichannel engagement.
β’ Experience with CI/CD pipelines, DevOps practices, and monitoring tools.
β’ Excellent communication and stakeholder management skills.
Preferred, but not required:
β’ Google Cloud certifications (e.g., CCAI, Dialogflow, Professional Cloud Architect).
β’ Experience in banking/financial services or other regulated industries.
β’ Knowledge of data security, compliance, and governance standards in BFSI.
We are seeking a highly experienced Google AgentSpace SME to lead the design, implementation, and optimization of conversational AI solutions using Googleβs 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:
β’ Serve as the Subject Matter Expert for Google AgentSpace and CCAI implementations.
β’ Design and develop conversational AI solutions including chatbots, voice bots, and virtual assistants.
β’ Collaborate with cross-functional teams to gather requirements and translate them into scalable AgentSpace solutions.
β’ Provide architectural guidance and best practices for secure, compliant, and scalable deployments.
β’ Integrate AgentSpace with contact center platforms (e.g., Genesys, Avaya, Cisco, NICE) and backend systems via APIs.
β’ Utilize Dialogflow CX, Agent Assist, and Speech-to-Text APIs to build intelligent workflows.
β’ Conduct performance tuning, monitoring, and troubleshooting of deployed solutions.
β’ Mentor developers and guide technical teams in implementing AI/ML-driven contact center solutions.
β’ Prepare technical documentation, design artifacts, and operational support guides.
Requirements:
β’ 10+ years of overall IT experience, with 3β5 years in Conversational AI and Google CCAI platforms.
β’ Hands-on experience with Google AgentSpace, Dialogflow CX, and Agent Assist.
β’ Strong understanding of NLP, NLU, and AI/ML models used in conversational design.
β’ Experience with Google Cloud Platform, APIs, microservices, and cloud integration.
β’ Proficiency in Python, Java, or Node.js for bot development and backend integration.
β’ Familiarity with IVR platforms, contact center technologies, and omnichannel engagement.
β’ Experience with CI/CD pipelines, DevOps practices, and monitoring tools.
β’ Excellent communication and stakeholder management skills.
Preferred, but not required:
β’ Google Cloud certifications (e.g., CCAI, Dialogflow, Professional Cloud Architect).
β’ Experience in banking/financial services or other regulated industries.
β’ Knowledge of data security, compliance, and governance standards in BFSI.