We are seeking an experienced Enterprise Technical Architect to oversee the end-to-end technical delivery of a large-scale Unified Contact Center (UCC) program. The architect will be responsible for ensuring seamless integration, governance, and delivery of a solution comprising Genesys CCaaS, Kore.ai conversational AI, HIVE analytics, Azure OpenAI services, Microsoft Dynamics CRM, multi-cloud environments (Azure & AWS), and associated networking, hardware, and software infrastructure.
The ideal candidate will have hands-on expertise in enterprise-scale solution delivery, strong stakeholder management skills, and the ability to align technical execution with business outcomes.
Key Responsibilities
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Technical Delivery Oversight
- Lead the architecture, design, and technical governance of the Unified Contact Center solution across all platforms.
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Oversee partner/vendor teams delivering Genesys CCaaS, Microsoft Dynamics CRM, Kore.ai, and other solution components.
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Ensure alignment of solution delivery with enterprise architecture standards, security, and compliance frameworks.
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Solution Architecture & Integration
- Define integration patterns between Genesys, Kore.ai, Dynamics, Azure OpenAI, HIVE, and cloud infrastructure (Azure, AWS).
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Establish APIs, middleware, and data flow governance across CRM, AI, and contact center layers.
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Design high-availability, scalable, and resilient architecture for multi-cloud deployments.
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Governance & Compliance
- Implement architecture guardrails, patterns, and technical standards for the program.
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Ensure compliance with UAE data residency, telecom, and information security regulations.
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Conduct design reviews and approve solution blueprints.
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Vendor & Stakeholder Management
- Act as the primary technical authority between internal teams, system integrators, and technology vendors.
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Provide technical direction during project execution, risk assessments, and issue resolution.
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Translate business requirements into technical deliverables.
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Innovation & Future Readiness
- Drive the adoption of AI/ML and automation capabilities to enhance customer experience.
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Ensure solution scalability for future roadmap items (agentic AI, omni-channel expansion, advanced analytics).
Required Qualifications & Skills
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Education: Bachelor’s or Master’s in Computer Science, Engineering, or related field.
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Experience:
- 12+ years in enterprise architecture / solution delivery roles.
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5+ years of experience specifically in Contact Center / CRM / AI platform implementations.
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Technical Expertise (Must-have):
- Proven experience in the design and deployment of enterprise-scale Genesys Cloud implementations, covering digital channels (chat, email, social media) and complex IVR flows.
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Proven experience in architecting and delivering integrations between Genesys Cloud and third-party platforms, including but not limited to:
- AI-powered conversational platforms (e.g., Kore.ai, Google Dialogflow, or similar).
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Voice biometric solutions for authentication and fraud prevention (e.g., DAON, Nuance Gatekeeper, or similar).
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Customer feedback management solutions (e.g., Hive, Medallia, Qualtrics, or similar).
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Microsoft Dynamics CRM for customer data synchronization and screen-pop functionalities.
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Strong understanding of Genesys Cloud APIs, Webhooks, Platform SDKs, and overall architecture.
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Strong understanding of REST/JSON APIs, web services, and event-driven architecture.
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Excellent problem-solving abilities and the capacity to lead cross-functional teams in a fast-paced environment.
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Preferred Skills and Qualifications (Good-to-Have)
- Experience with data visualization and reporting using Microsoft Power BI.
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A solid understanding of cloud computing concepts and services, particularly on Microsoft Azure.
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Previous experience designing and implementing IVR network connectivity, including SIP trunking, toll-free number provisioning, and carrier management.
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Soft Skills:
- Strong leadership and vendor management capabilities.
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Excellent communication and stakeholder engagement skills.
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Ability to balance technical rigor with practical delivery.
Preferred Certifications
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TOGAF or equivalent Enterprise Architecture certification.
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Genesys Cloud Architect or Professional certifications.
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Microsoft Certified: Dynamics 365 + Azure Solutions Architect.
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AWS Certified Solutions Architect.
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AI/ML or Conversational AI-related certifications (Kore.ai, Azure AI, etc.).