Enterprise Cloud Architect

Job Description

SADA is seeking a highly skilled and experienced Enterprise Cloud Architect to join their team. The ideal candidate will possess over 10 years of experience in IT, Contact Center implementations, and Conversational AI, with substantial experience on at least one major cloud-based contact center platform. The Architect will play a critical role in designing, implementing, and deploying AI-powered contact center solutions for SADA's clients. They will be responsible for providing technical leadership, mentoring team members, and ensuring the successful delivery of projects.

Responsibilities:

• Design and architect end-to-end CCAI solutions, including CCaaS implementations, conversational AI flows, and integrations with backend systems
• Lead and participate in the development of complex Conversational AI components
• Collaborate with sales teams to provide technical expertise during pre-sales activities
• Provide technical guidance and mentorship to junior engineers and developers
• Maintain up-to-date knowledge of the latest advancements in Google Contact Center AI, Conversational Agents (Dialogflow CX), and Vertex AI Generative AI features and capabilities.

Required Qualifications:

• Over 10 years of experience in IT, serving clients across North America, Canada, and EMEA regions.
• Proven experience designing, building, and deploying contact center and conversational AI solutions.
• Strong understanding of contact center operations, and technologies.
• Excellent communication, presentation, and interpersonal skills.

Preferred Qualifications:

• Familiarity with Agile development methodologies.
• Industry certifications in relevant technologies.
• Experience tuning applications for non-functional requirements, i.e., usability, maintainability, scalability, availability, security, portability, etc.
• Exposure to relational and NoSQL datastores
• Familiarity with frontend web technologies, particularly React or Angular
• Experience using cloud offerings and solutions (Google Cloud Platform, Microsoft Azure, or Amazon AWS)