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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.
Key responsibilities:
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
Required experience:
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
Preferred experience:
Experience implementing AI assistants within regulated industries such as banking or financial services
Familiarity with compliance, risk, and governance requirements related to AI solutions
Experience with agent-to-agent orchestration, multi-agent architectures, and enterprise knowledge retrieval patterns
Knowledge of monitoring, observability, and evaluation frameworks for generative AI solutions
Expected outcome:
The consultant will help establish a production-ready foundation for a voice-enabled AI Assistant, including configuration of Microsoft Foundry, Voice Live API, Azure AI Search, and related Azure AI services, while ensuring the solution is scalable, secure, maintainable, and aligned with enterprise standards
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location Preference : Onsite: Copenhagen, Denmark (preferred) Remote: EU, EEA, or UK-based resources only (secondary preference).
Dates Needed:
01/10/2026 - 18/12/2026
Work arrangement
Yes
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