CCAI Architect
CCAI Architect
Posted on :
01-10-2024
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Job Description
CCAI Architect
Alpharetta GA (Day 1 onsite)
Long term
Mandatory S:
GCP
NLP
CCAI and Python
Key Responsibilities:
Solution Design: Architect AIpowered contact center solutions leveraging Google Clouds Contact Center AI (CCAI) Dialogflow and other related technologies. Implementation: Lead the deployment and integration of Google CCAI solutions with existing systems (CRM telephony chat etc.) in customer environments. Integration: Design and implement integrations with thirdparty platforms such as Genesys Twilio Cisco Avaya or Five9. AI Model
Optimization: Work closely with data scientists and machine learning engineers to optimize NLP models dialog management and virtual agents. Custom Bot Development: Build and train virtual agents and chatbots using Google Dialogflow for handling various customer queries. Customer Experience Strategy: Collaborate with product owners stakeholders and business ysts to map customer journeys and design contact center experiences that are streamlined and efficient. Consultation: Provide technical leadership and consulting expertise to clients and internal teams regarding best practices for Google CCAI architecture. Quality urance: Lead or participate in testing efforts for implemented solutions to ensure they meet performance scalability and security requirements. Training and Doentation: Create training material for internal teams and customers. Provide detailed doentation for each implementation. Continuous Improvement: Stay updated on the latest advancements in CCAI AI technologies and contact center trends continuously improving solutions. Required Ss: Expertise in Google Cloud Technologies: Handson experience with Google Cloud Platform (GCP) including Dialogflow BigQuery Google Kubernetes Engine (GKE) and AI/ML services. Proficiency in NLP: Strong knowledge of natural language processing (NLP) and machine learning concepts with experience building and training virtual agents. Integration Ss: Experience integrating CCAI solutions with popular telephony systems CRM tools and ytics platforms. Experience with Contact Centers: Deep understanding of contact center operations including inbound/outbound voice services chat and email interactions. Coding Ss: Proficiency in Python JavaScript or other relevant programming languages for custom developments and integrations. Cloud Architectures: Familiarity with cloud architectures (preferably GCP) and experience in designing scalable secure and faulttolerant solutions. AI and Automation: Proven track record in deploying AIdriven automation systems that enhance customer interactions and operational efficiency. ytical Ss: Ability to yze customer interaction data identify trends and optimize virtual agents performance. Preferred Qualifications: Google Cloud Architect Certification or equivalent. 5 years of experience working with AIdriven contact center solutions. Experience with other cloud contact center platforms like AWS Connect Microsoft Azure Contact Center etc. Familiarity with voice technology platforms like Google SpeechtoText TexttoSpeech. Excellent communication ss with the ability to explain technical concepts to nontechnical stakeholders.
Alpharetta GA (Day 1 onsite)
Long term
Mandatory S:
GCP
NLP
CCAI and Python
Key Responsibilities:
Solution Design: Architect AIpowered contact center solutions leveraging Google Clouds Contact Center AI (CCAI) Dialogflow and other related technologies. Implementation: Lead the deployment and integration of Google CCAI solutions with existing systems (CRM telephony chat etc.) in customer environments. Integration: Design and implement integrations with thirdparty platforms such as Genesys Twilio Cisco Avaya or Five9. AI Model
Optimization: Work closely with data scientists and machine learning engineers to optimize NLP models dialog management and virtual agents. Custom Bot Development: Build and train virtual agents and chatbots using Google Dialogflow for handling various customer queries. Customer Experience Strategy: Collaborate with product owners stakeholders and business ysts to map customer journeys and design contact center experiences that are streamlined and efficient. Consultation: Provide technical leadership and consulting expertise to clients and internal teams regarding best practices for Google CCAI architecture. Quality urance: Lead or participate in testing efforts for implemented solutions to ensure they meet performance scalability and security requirements. Training and Doentation: Create training material for internal teams and customers. Provide detailed doentation for each implementation. Continuous Improvement: Stay updated on the latest advancements in CCAI AI technologies and contact center trends continuously improving solutions. Required Ss: Expertise in Google Cloud Technologies: Handson experience with Google Cloud Platform (GCP) including Dialogflow BigQuery Google Kubernetes Engine (GKE) and AI/ML services. Proficiency in NLP: Strong knowledge of natural language processing (NLP) and machine learning concepts with experience building and training virtual agents. Integration Ss: Experience integrating CCAI solutions with popular telephony systems CRM tools and ytics platforms. Experience with Contact Centers: Deep understanding of contact center operations including inbound/outbound voice services chat and email interactions. Coding Ss: Proficiency in Python JavaScript or other relevant programming languages for custom developments and integrations. Cloud Architectures: Familiarity with cloud architectures (preferably GCP) and experience in designing scalable secure and faulttolerant solutions. AI and Automation: Proven track record in deploying AIdriven automation systems that enhance customer interactions and operational efficiency. ytical Ss: Ability to yze customer interaction data identify trends and optimize virtual agents performance. Preferred Qualifications: Google Cloud Architect Certification or equivalent. 5 years of experience working with AIdriven contact center solutions. Experience with other cloud contact center platforms like AWS Connect Microsoft Azure Contact Center etc. Familiarity with voice technology platforms like Google SpeechtoText TexttoSpeech. Excellent communication ss with the ability to explain technical concepts to nontechnical stakeholders.
Employment Type
Full Time
Key Skills
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