Fractional Voice AI & Conversational Automation Architect (AI)

Location: Remote, limited to Mexico, Brazil, Panama, Argentina, Chile, and Uruguay

Company

hirify.global's hirify.global Premium department supports enterprise customer-support environments through production-grade voice AI and conversational automation deployments.

What you will do

• Architect and deploy production voice AI agents using real-time IVR, speech-to-text, text-to-speech, and low-latency turn-taking.
• Design LLM orchestration and agentic workflows across inbound voice calls and form-based support tickets.
• Integrate voice solutions with Talkdesk or comparable CCaaS platforms, Zendesk, and backend or order-management APIs.
• Design intelligent routing, customer-type identification, and human escalation paths.
• Define latency, voice naturalness, containment, deflection, evaluation, and QA standards before and after go-live.
• Scope activation sprints, review proposals, advise on delivery and adoption, and join senior enterprise discovery and sales conversations.

Requirements

• Senior hands-on architecture or engineering experience deploying production-grade voice AI agents, with a live demo, walkthrough, or documented deployment.
• Strong experience with real-time IVR, speech-to-text, text-to-speech, low-latency voice interaction, LLM orchestration, and agentic workflows.
• Experience integrating Talkdesk or a similar CCaaS platform, Zendesk, and backend APIs.
• Experience in high-volume, seasonal customer-support environments and with intelligent routing, escalation, and customer identification.
• Azure deployment experience, including Azure OpenAI or Azure AI Foundry, is a strong plus; without Azure experience, AWS and Bedrock experience is mandatory.
• Fluent English communication and the ability to advise CIOs, IT leaders, and enterprise transformation stakeholders.

Nice to have

• Experience with Microsoft 365 Copilot, Copilot Studio, Semantic Kernel, Power Platform, Teams, or SharePoint.
• Microsoft employee, Microsoft MVP, or Microsoft SI and partner ecosystem experience.
• Experience with enterprise Copilot adoption, licensing activation, usage expansion, or business-value realization.
• Master's or PhD in Computer Science, Information Systems, Organizational Behavior, or a related technology-focused field.
• Thought leadership experience through executive insights, Microsoft or AI community events, or speaking opportunities.

Culture & Benefits

• Part-time fractional engagement rather than a full-time delivery role.
• Flexible hours structured around activation sprints and ongoing technical oversight.
• Advisory involvement in governance, security, compliance, change management, and enterprise adoption planning.