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Ccai Jobs (NOW HIRING)

We are seeking a highly skilled GCP System Engineer to manage the operational stability, configuration, and deep-level integration of the Google Contact Center AI (CCAI) platform and its related ...

Genesys Developer

New York, NY · On-site

$45 - $50/hr

Google CCAI * Web service, API and other cross system communication protocols and experience with integration of telephony systems to other computer systems (e.g. SOAP, VXML SQL, XML, REST)

Proficiency in Microsoft Bot Framework and Google CCAI Services. * Strong programming skills in C#, .NET, JavaScript, and Python. * Experience with M365 solutions, including SharePoint and Power ...

Voice Engineer

Atlanta, GA · Hybrid

$50 - $60/hr

Skills CCAI, google cloud platform, reporting tools, troubleshooting Top Skills Details CCAI,google cloud platform Additional Skills & Qualifications Experience supporting contact center components ...

Voice Engineer

Atlanta, GA · Hybrid

$50 - $60/hr

Skills CCAI, google cloud platform, reporting tools, troubleshooting Top Skills Details CCAI, google cloud platform Additional Skills & Qualifications Experience supporting contact center components ...

Voice Engineer

Atlanta, GA · Hybrid

$50 - $60/hr

Skills CCAI, google cloud platform, reporting tools, troubleshooting Top Skills Details CCAI, google cloud platform Additional Skills & Qualifications Experience supporting contact center components ...

Senior AI Engineer

Hartford, CT · On-site

$55.75 - $71.75/hr

Mandatory Skills Google CCAI (Contact Center AI) Google Vertex AI RAG (Retrieval Augmented Generation) AI/ML Google GCP MLOps Healthcare Payer Cloud AI Platform Summary As an AI engineer, you will be ...

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How much do ccai jobs pay per hour?

As of May 30, 2026, the average hourly pay for ccai in the United States is $26.34, according to ZipRecruiter salary data. Most workers in this role earn between $15.14 and $30.77 per hour, depending on experience, location, and employer.

What is a CCAI job?

A CCAI job typically refers to roles involving Contact Center AI (CCAI), which leverages artificial intelligence to enhance customer support and automate interactions. Professionals in this field may work with AI-powered chatbots, virtual agents, or speech analytics to improve customer service experiences. Common responsibilities include configuring AI models, analyzing user interactions, and optimizing automated workflows. These roles are often found in industries like customer support, telecom, and tech, where AI-driven customer engagement is a priority.

What are the key skills and qualifications needed to thrive in the Ccai position, and why are they important?

To thrive as a Contact Center Artificial Intelligence (CCAI) Specialist, you need a solid background in conversational AI, machine learning, and natural language processing, typically supported by a degree in computer science or a related field. Familiarity with platforms such as Google CCAI, cloud services, and customer service software is often expected, along with certification in relevant AI or cloud technologies. Excellent problem-solving abilities, effective communication, and strong project management skills help you stand out in this role. These skills ensure the successful design, deployment, and optimization of AI-driven solutions in dynamic contact center environments.

What are the typical career advancement opportunities for a Contact Center Artificial Intelligence (CCAI) Specialist?

As a CCAI Specialist, you can progress to roles such as AI Solutions Architect, Contact Center Technology Manager, or even Head of Customer Experience Technology, depending on your interests and expertise. Many organizations encourage ongoing professional development, so gaining certifications in cloud platforms or advanced AI concepts can open doors to more senior positions. You may also have the chance to lead cross-functional teams or mentor junior staff as you gain experience. This role offers a solid pathway for professionals interested in both technological innovation and customer experience transformation.
What states have the most Ccai jobs? States with the most job openings for Ccai jobs include:
Infographic showing various Ccai job openings in the United States as of May 2026, with employment types broken down into 14% Part Time, and 86% Contract. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $54,791 per year, or $26.3 per hour.
GCP System Engineer - AI Contact Center Issaquah, WA (Hybrid model three days onsite per week)

GCP System Engineer - AI Contact Center Issaquah, WA (Hybrid model three days onsite per week)

talentmovers inc

Issaquah, WA • On-site

Contractor

Posted 8 days ago


Job description

We are Hiring for GCP System Engineer - AI Contact Center  Issaquah, WA (Hybrid model three days onsite per week)

Title: GCP System Engineer - AI Contact Center

Location: Issaquah, WA (Hybrid model three days onsite per week)

Duration: 6-12 Months Contract

Position Summary: We are seeking a highly skilled GCP System Engineer to manage the operational stability, configuration, and deep-level integration of the Google Contact Center AI (CCAI) platform and its related ecosystem. This role is crucial for implementing and maintaining core contact center functionalities, including call routing, WFM integration, and seamless channel connectivity between Google CES and Salesforce.

Key Responsibilities

Contact Center Operations & Telephony

  • Call Setup & Routing Implementation: Configure, test, and maintain the end-to-end call setup process within the Google Contact Center AI Platform, ensuring high availability and low latency.
  • Routing Logic Deployment: Implement complex, skill-based, and data-driven call and chat routing logic based on directives from the Architecture team and business requirements, ensuring optimal customer experience.
  • Voice and CTI Management: Manage the integration points between the Google CES platform and underlying CTI/telephony infrastructure, troubleshooting connectivity and quality issues (e.g., SIP, webRTC).
  • Workforce Management (WFM) Setup: Lead the technical setup, configuration, and ongoing maintenance of the Verint WFM integration with the Google CES platform, ensuring accurate data exchange for forecasting, scheduling, and adherence monitoring.

Channel & Application Integration

  • Salesforce Channel Integration: Implement and manage the technical channels (e.g., APIs, connectors) that enable real-time and historical data exchange between Google CES (Dialogflow, CCAI) and Salesforce Service Cloud for unified agent views and case creation.
  • External API Integration: Configure and secure API endpoints to facilitate the real-time consumption of data from external systems (e.g., knowledge bases, order systems) to enrich conversational flows.
  • System Health & Monitoring: Establish and manage comprehensive monitoring, alerting, and logging systems (using GCP Operations Suite/Stackdriver) for all contact center components, proactively identifying performance bottlenecks and stability risks.

Agentic AI Configuration & Support

  • Agentic AI Setup: Execute the configuration and deployment of core AI agents (Dialogflow CX/ES) and other Agentic AI components, ensuring they meet operational standards for reliability and performance.
  • AI Integration & Tuning: Configure and maintain the technical integration of Agentic AI with enterprise knowledge bases (via Vertex AI Search/Gen AI) and the designated external APIs to provide accurate and relevant responses.
  • Incident Response: Serve as the Tier 2/3 escalation point for operational issues related to call routing failures, integration errors, and WFM data discrepancies.

 

Required Skills and Experience

·       12+ years of hands-on experience in a System Engineering or CTI/Telephony-focused role within a Contact Center environment.

·       Direct experience with the technical configuration of Google Contact Center AI (CCAI) / Customer Engagement Suite (CES).

·       Proven expertise in setting up and troubleshooting call routing, queueing, and CTI integration logic.

·       Experience with the technical setup and data mapping for Verint Workforce Management (WFM) or a similar enterprise WFM system.

·       Strong understanding of API integration concepts (REST/SOAP) and secure data transmission protocols.

·       Proficiency with GCP services relevant to operations (e.g., Compute Engine, Cloud Load Balancing, Monitoring/Logging).