Consultant for Voice-Based AI Assistant on Microsoft AI Ecosystem

We are looking for an experienced consultant to support the setup, configuration, and operationalization of a voice-based AI assistant built on the Microsoft AI ecosystem.

The consultant will work closely with our internal AI engineering and product teams to establish a scalable and production-ready architecture leveraging Microsoft Foundry and related Azure AI services.

• Configure and deploy solutions using Microsoft Foundry and Azure AI services.
• Design and implement voicebot capabilities utilizing Voice Live API and real-time speech technologies.
• Set up and configure Azure AI Search, including indexing, retrieval strategies, grounding, and integration with enterprise knowledge sources.
• Configure and optimize supporting services such as Azure OpenAI, Speech Services, content safety, monitoring, logging, and orchestration components.
• Implement best practices for authentication, security, networking, and compliance within an enterprise banking environment.
• Support integration with backend APIs, business services, and customer-facing channels.
• Advise on architecture decisions, scalability, performance optimization, and operational readiness.
• Assist with troubleshooting, testing, and production hardening of voice and conversational AI solutions.
• Collaborate with internal engineers to upskill the team and ensure long-term maintainability.

• Hands-on experience implementing conversational AI solutions on Microsoft Azure.
• Strong experience with Microsoft Foundry and Azure AI services.
• Proven experience configuring and deploying Voice Live API or similar real-time voice AI solutions.
• Deep knowledge of Azure AI Search, Retrieval-Augmented Generation (RAG), indexing strategies, and search optimization.
• Experience with Azure OpenAI, prompt orchestration, grounding, and agent-based AI solutions.
• Knowledge of speech recognition, text-to-speech, real-time audio streaming, and voicebot architecture.
• Experience integrating AI solutions with enterprise systems and APIs.
• Strong understanding of cloud architecture, security, identity management, and operational best practices.