Head of Engineering, Voice AI

Sully.ai

full-time

Posted on: 9/20/2025

Origin: • 🇺🇸 United States

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Lead

AWSAzureCloudDockerGoogle Cloud PlatformGRPCKafkaKubernetes

About the role

Own voice stack architecture across telephony, ASR, TTS, diarization, dialog, and EHR write-back.
Drive reliability and latency with SLAs, error budgets, incident response, and observability.
Lead enterprise EHR integrations and multi-office configuration tooling for large practices.
Build scheduling sync that is conflict free across EMRs and calendars.
Hire, coach, and organize teams for platform, voice, SMS, integrations, and dashboard.
Establish latency, accuracy, and reliability baselines with dashboards and alerts; stabilize telephony, ASR in noise, double-booking, and sync drift; ship enterprise EHR integration pilots and self-hosted deployment plan.

7+ years engineering with 3+ years leading teams shipping real-time voice agents at scale.
Deep telephony and realtime expertise across Twilio or SIP, WebRTC or gRPC, Kafka or queues.
Strong ASR and TTS production experience and prompt or policy or routing for LLM agents.
Proven CI or CD, Kubernetes, Docker, and cloud on GCP or AWS or Azure.
Track record reducing p95 or p99 latency and raising correctness in production ML systems.
(Nice-to-Have) Healthcare data standards and EHR integrations across FHIR or HL7.
(Nice-to-Have) Multilingual voice systems and medical terminology accuracy work.
(Nice-to-Have) SRE or DevOps leadership and automated QA at safety bar.