Principal AI Architect

Primary Responsibilities

• Own the end-to-end technical architecture for conversational voice AI systems, including voice bot orchestration, memory/context handling, backend integrations, agent handoff, and quality feedback loops
• Design and implement voice bot architectures for natural language self-service, including multi-turn conversations, fulfillment, fallback, escalation, and smooth transitions to human-assisted experiences
• Define architecture patterns for STT/TTS, V2V (voice-to-voice), and hybrid voice interaction models, including tradeoffs in latency, controllability, grounding, observability, interruption handling, and user experience
• Design and implement reasoning-enabled voice bot architectures, including policy-controlled tool use, grounding/validation, fallback behavior, and escalation patterns
• Define and implement multi-bot / multi-agent orchestration patterns for voice, including dispatcher, orchestrator, domain-bot, and escalation models
• Define approaches for session memory, context propagation, authentication context, and conversation continuity across bots, backend systems, and live agents
• Establish voice guardrail patterns including policy enforcement, safe fallback behavior, hallucination/grounding controls, redaction/governance, escalation rules, and compliance-aware protections
• Define telemetry, observability, and evaluation patterns for conversational voice systems, including latency, recognition quality, interruption/barge-in behavior, drop-offs, failure rates, containment, transcript quality, and task completion
• Design integration patterns between voice bot systems and enterprise platforms such as identity, CRM, customer profile, case management, knowledge systems, and downstream APIs/services
• Design voice architectures that cleanly separate conversation intelligence from telephony/platform concerns while still supporting reliable context transfer and operational continuity
• Apply technologies such as SIP, WebRTC, WebSocket, APIs, and event-driven services where appropriate to support real-time voice interactions and downstream voice bot integrations
• Lead design reviews, publish reusable patterns and standards, mentor engineers, and influence technical direction across voice initiatives
• Partner closely with Product, Engineering, Security, Operations, and telephony/platform teams to translate business outcomes into scalable technical designs

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
• 5+ years of experience designing and delivering voice bot, conversational voice AI, IVR, or customer-facing voice automation solutions in production environments
• 3+ years of hands-on experience designing or implementing conversational voice systems, including one or more of the following: STT/TTS pipelines, V2V systems, multi-turn voice interactions, bot orchestration, session memory/context, or escalation to human agents
• 3+ years of experience with modern voice integration technologies or protocols such as SIP, WebRTC, WebSocket, telephony integration, or signaling/media handling
• 3+ years of experience designing conversational/self-service voice experiences, including intent handling, fallback/escalation design, and context transfer between automation and human-assisted channels
• 3+ years of experience with one or more of the following: voice memory/context handling, multi-bot orchestration, reasoning bots, voice guardrails, voice telemetry/evaluations, downstream voice integration patterns, or protocol tradeoffs
• Experience evaluating tradeoffs between deterministic voice flows, reasoning-enabled bots, domain-specific bots, and human escalation paths
• Experience with AI in engineering workflows, including standards, guardrails, reusable prompts/patterns, and evaluation/quality checks
• Demonstrated ability to produce architecture/design artifacts, lead technical workshops, mentor engineers, and influence cross-functional stakeholders
• Proven solid troubleshooting mindset with demonstrated ownership of production support and root cause analysis for customer-facing voice systems

Preferred Qualifications

• Experience designing voice systems where the telephony/routing platform is distinct from the downstream bot, orchestration, or AI layers
• Experience with reasoning-enabled voice agents, grounded tool use, and policy-controlled action execution
• Experience designing V2V / speech-to-speech systems with low-latency streaming, natural turn-taking, and interruption/barge-in handling
• Experience with speech analytics, transcript analysis, redaction/governance, or voice quality evaluation frameworks
• Experience with data pipelines and telemetry patterns for voice quality, reporting, evaluation, and conversational analytics
• Experience embedding or integrating live agent workflows with contextual handoff from voice automation systems
• Experience with Infrastructure-as-Code and CI/CD for cloud platform delivery
• Experience operating in regulated or high-compliance environments and designing for privacy-by-default, encryption, auditability, and retention controls
• Proven ability to architect cross-channel experiences that unify voice, chat, and human-assisted workflows while minimizing customer effort