FRACTIONAL VOICE AI & CONVERSATIONAL AUTOMATION ARCHITECT - PART-TIME

Xenon7 is looking for a Fractional Voice AI & Conversational Automation Architect to design, deploy and advise on production-grade voice AI agents inside enterprise customer-support environments. This is a hands-on senior role with an advisory edge. You will own the technical direction of real-time voice agent deployments — IVR, speech-to-text, text-to-speech, LLM orchestration — while also bringing senior credibility to client conversations with CIOs, IT leaders and CX/support leadership. This is not a full-time delivery role. It is a part-time engagement with flexible hours, structured around activation sprints and ongoing technical oversight. Responsibilities • Architect and deploy production voice AI agents: real-time IVR, STT, TTS, and low-latency turn-taking. • Design LLM orchestration and reasoning that works across both inbound voice calls and form-based support tickets. • Integrate with Talkdesk or comparable CCaaS platforms, Zendesk, and backend / order-management APIs. • Design intelligent routing, customer-type identification, and human escalation paths. • Own the quality bar: latency budgets, voice naturalness, containment and deflection rates, plus the eval and QA approach before and after go-live. • Scope activation sprints and provide oversight on delivery approach, technical feasibility and adoption planning. • Review client proposals and recommendations to ensure they are realistic, enterprise-ready and aligned with platform capabilities. • Join sales and discovery conversations with senior enterprise stakeholders when deep technical credibility is needed. • Advise on governance, security, compliance and change management for large-scale AI deployments. • Optionally contribute to thought leadership: executive insights, Microsoft or AI community events, speaking opportunities. • Senior, hands-on architect/engineer who has deployed production-grade voice AI agents — shipped systems, not prototypes. • Strong experience with real-time IVR, speech-to-text, text-to-speech and low-latency voice interaction design and tuning. • Proven LLM orchestration and agentic workflow design across voice and text channels. • Integration experience with Talkdesk or a similar CCaaS platform, Zendesk, and backend APIs. • Ability to design intelligent routing, human escalation and customer-type identification. • Cloud: experience deploying models in Microsoft Azure (Azure OpenAI, Azure AI Foundry) is a strong plus. If no Azure background, AWS + Bedrock experience is mandatory. • Experience in high-volume, seasonal customer-support environments. • Must be able to demonstrate a comparable working solution — a live demo, walkthrough or a documented past deployment. • Strong architectural judgment on what is scalable, adoptable and realistic in enterprise environments. • Ability to advise senior stakeholders: CIOs, IT leaders, digital workplace and enterprise transformation teams. • Fluent English communication. Bonus • Depth in the Microsoft AI ecosystem: Microsoft 365 Copilot, Copilot Studio, Semantic Kernel, Power Platform, Teams, SharePoint. • Former Microsoft employee, Microsoft MVP designation, or experience within a Microsoft SI / partner ecosystem. • Experience with enterprise Copilot adoption, licensing activation, usage expansion or business-value realization programs. • Advanced academic background (Master's or PhD) in Computer Science, Information Systems, Organizational Behavior or a related technology-focused field.