Cloud & Network Engineer/Architect for AI Voicebot Solution

We are looking for an experienced Cloud & Network Engineer/Architect to support the design, setup, and operationalization of the cloud and network infrastructure required for a production-grade AI Voicebot solution built on Microsoft Azure.

The consultant will work closely with AI engineers, platform teams, security specialists, and enterprise architects to establish a secure, scalable, and resilient foundation for real-time voice and generative AI services.

Key responsibilities:

• Design and implement the cloud architecture required to support AI and voice services on Azure.
• Configure network connectivity between Azure services, enterprise systems, APIs, and customer-facing channels.
• Set up and manage Private Endpoints, Private Link, VNET integration, DNS configuration, and secure service-to-service communication.
• Design secure connectivity patterns for Azure OpenAI, Azure AI Search, Speech Services, Microsoft Foundry, and related Azure services.
• Configure load balancing, traffic routing, API exposure, and networking components supporting real-time voice communication.
• Support implementation of WebSocket-based and low-latency communication patterns required for voice interactions.
• Establish monitoring, logging, alerting, and observability capabilities across the platform.
• Ensure platform resilience, scalability, high availability, and disaster recovery considerations are addressed.
• Collaborate with security and risk teams to ensure compliance with enterprise and regulatory requirements.
• Troubleshoot networking, connectivity, performance, and infrastructure-related issues during implementation and production rollout.

Required experience:

• Strong hands-on experience designing and deploying enterprise solutions on Microsoft Azure.
• Deep expertise in Azure networking, including VNETs, NSGs, Private Link, ExpressRoute, VPN connectivity, DNS, and firewall configurations.
• Experience implementing secure cloud architectures for customer-facing applications and APIs.
• Experience supporting AI and data platforms within Azure environments.
• Strong understanding of network security, identity management, authentication, and authorization patterns.
• Experience with Azure Monitor, Application Insights, Log Analytics, and operational monitoring frameworks.
• Experience with Infrastructure as Code (Terraform, Bicep, or ARM templates).
• Proven ability to troubleshoot complex networking and cloud infrastructure challenges.

Preferred experience:

• Experience supporting real-time communication platforms, voice applications, telephony integrations, or contact center technologies.
• Familiarity with WebSocket architectures, streaming APIs, and low-latency application design.
• Experience with Azure OpenAI, Azure AI Search, Speech Services, and Microsoft Foundry environments.
• Experience working within regulated industries such as banking, insurance, or financial services.
• Knowledge of enterprise security frameworks, zero-trust principles, and cloud governance practices.
• Experience supporting GenAI and agent-based AI platforms in production.

Expected outcome:

The consultant will establish a secure, scalable, and enterprise-ready cloud and network foundation that enables the deployment and operation of a voice-enabled AI Assistant. This includes ensuring reliable connectivity between Microsoft Foundry, Voice Live API, Azure AI services, internal systems, and customer channels while meeting performance, security, and compliance requirements.