Principal Architect

ConverseNow is the leading Voice AI platform for restaurants. Our virtual ordering assistants automate drive-thru and phone orders for some of the world’s most iconic restaurant brands. Combining cutting-edge conversational AI with deep hospitality insight, we sit at the intersection of technology, SaaS, and service — enabling brands to deliver faster, friendlier, and more consistent guest [experiences.Recognized](http://experiences.Recognized) by Forbes AI 50, Built In’s Startups to Watch, and featured in TechCrunch, Business Insider, and Nation’s Restaurant News, ConverseNow is supported by world-class investors including **CRAFT Ventures** (Tesla, Uber, Airbnb, Slack) and **Enlightened Hospitality Investments** (founded by Shake Shack’s Danny Meyer).After six years of product and market maturity, ConverseNow is entering its next phase: **profitable scale by the end of 2026.** The foundations are strong — proven technology, marquee customers, and scalable operations — and we’re now seeking a **Principal Architect** to lead the next stage of our platform evolution. ### The Role - As **Principal Architect**, you will be responsible for defining, evolving, and governing the overall architecture of ConverseNow’s AI platform — spanning infrastructure, data systems, APIs, and production services that power millions of voice and text interactions every [](http://month.You)’ll be both a hands-on technical leader and a strategic systems thinker — responsible for evolving the architecture that powers our AI-driven ordering ecosystem. Your mandate: ensure reliability, scalability, and cost efficiency as we transition from high-growth to **profitable and sustainable scale.** The existing ConverseNow platform utilises a wide variety of technologies at the heart of which lies advanced AI frameworks, models and our patented [algorithms.This](http://algorithms.This) role is ideal for a senior technologist who thrives on solving complex distributed-system challenges, guiding architectural transformation, and mentoring high-performing teams toward long-term stability and innovation. ### What You’ll Do Here: - **Architectural Leadership:** Define and drive the evolution of ConverseNow’s cloud-native platform architecture, balancing innovation with long-term maintainability and cost [efficiency.](http://efficiency.Platform) - [**Platform**](http://efficiency.Platform) **Stewardship:** Own the end-to-end technical vision for ConverseNow’s voice AI platform — ensuring architectural consistency, security, and scalability across services and [deployments.](http://deployments.Operational) - [**Operational**](http://deployments.Operational) **Excellence:** Champion performance benchmarking, cloud cost optimization, and system reliability as key levers for profitability and customer [trust.](http://trust.Infrastructure) - [**Infrastructure**](http://trust.Infrastructure) **& Scale:** Lead initiatives for infrastructure optimization, observability, and performance tuning — ensuring reliability at scale across voice, data, and ML [services.](http://services.Platform) - [**Platform**](http://services.Platform) **Modernization:** Evaluate and implement architectural patterns that enable modularity, resilience, and faster experimentation (e.g., event-driven, microservices, serverless, or hybrid models). Adapting to new technologies, platforms and technical operations using modern [tools.**Technical**](http://tools.Technical) **Governance:** Establish standards for code quality, system design reviews, and architectural documentation across all engineering [teams.**Cross-Functional**](http://teams.Cross-Functional) **Collaboration:** Partner closely with AI/ML, product, and customer delivery teams to translate business goals into technical [strategy.**Mentorship**](http://strategy.Mentorship) **& Influence:** Coach senior engineers and tech leads; foster an engineering culture of ownership, rigor, and operational [excellence.**Financially-Aware**](http://excellence.Financially-Aware) **Architecture:** Design for long-term efficiency — optimizing infrastructure, cloud spend, and scalability to support the company’s profitability goals. ### Technology and Tools Expertise: - Multi-Dimensional Data ModelsVector [DatabasesCube.jsApache](http://DatabasesCube.jsApache) SupersetGoogle [LookerGolangReactNode.jsGoogle](http://LookerGolangReactNode.jsGoogle) Cloud Platform (GCP)Natural Language Processing (NLP)Voice-to-Text and Text-to-VoiceAutomatic Speech Recognition (ASR) and Voice ProcessingLarge and Small Language Models (LLMs)GPT-based Tools (e.g., ChatGPT)PCI DSS ComplianceUser Experience (UX) DesignKubernetesMicroservices Architecture