Versazen · 20 hours ago
CCAI Architect (Contact Center AI Architect)
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Responsibilities
Design scalable and efficient CCAI solutions leveraging platforms such as Google CCAI.
Create high-level and detailed architecture diagrams to guide implementation teams.
Build and integrate conversational AI components, including natural language understanding (NLU), text-to-speech (TTS), and speech-to-text (STT) technologies.
Implement AI-driven automation tools to optimize workflows and reduce response times.
Partner with product managers, business analysts, and development teams to align solutions with business goals.
Serve as a liaison between technical teams and stakeholders, translating business requirements into technical specifications.
Monitor and fine-tune the performance of AI applications, ensuring seamless customer experiences.
Establish and implement best practices for contact center AI, including data privacy and compliance considerations.
Stay updated with the latest trends and advancements in conversational AI, machine learning, and contact center technologies.
Proactively recommend innovative solutions to meet evolving business and customer needs.
Qualification
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Required
Minimum 14 plus years’ experience and should have done multiple CCAI solution implementation for large organizations.
Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Minimum 5+ years in AI, machine learning, or contact center technology roles.
Proven experience designing and deploying CCAI solutions in enterprise environments.
Strong expertise in conversational AI platforms (e.g., Google Dialogflow, Microsoft Bot Framework, Amazon Lex).
Familiarity with contact center platforms (e.g., Genesys, Cisco, Avaya, or Five9).
Solid understanding of AI/ML concepts, APIs, and integration frameworks.
Proficiency in programming languages such as Python, Java, or Node.js.
Experience of cloud platforms (e.g., Google Cloud, AWS, Microsoft Azure).
Excellent problem-solving and analytical skills.
Strong communication and presentation abilities to explain technical concepts to non-technical stakeholders.
Ability to work collaboratively in fast-paced environments.
Preferred
Certification in AI, cloud computing, or contact center technologies.
Experience with workforce optimization (WFO) and customer experience analytics.
Knowledge of multi-channel customer engagement (voice, chat, email, social).