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Salary
$72k – $158k per year (Estimated)
Location
Remote (Argentina, Brazil, Mexico, Chile, Panama, Uruguay)
Seniority
Architect
Employment
Part-Time
Overview
Company
Impact
Profile match
Workana is a leading platform in Latin America that connects businesses with remote talent across various disciplines. With over a decade in the market, Workana specializes in providing businesses with pre-selected and certified developers and freelancers for specific time periods or project-based tasks. The platform supports hiring in diverse fields such as IT & Programming, Design & Multimedia, Writing & Translation, and more, offering payment flexibility in local currencies or USD.

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.

Requirements

  • 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.
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