Principal AI UI Architect

We are seeking a Principal AI UI Architect to define and lead the frontend architecture and developer experience for our AI Agentic Platform. This platform enables developers and enterprises to create, test, debug, and deploy outcome-driven reasoning and deterministic agents with rich visual tools. You will architect the UI/UX framework for building and simulating AI assistants across multiple channels (digital & voice), designing intuitive interfaces for dialog orchestration, agent testing/simulation, and multi-agent workflows. This is a high-impact leadership role that combines front-end engineering, developer experience, AI tooling, and product design thinking. Key ResponsibilitiesAgentic UI Architecture & FrameworksDefine the UI architecture for a visual agent-building environment, supporting reasoning-driven and deterministic agent workflows. Design low-code/no-code interfaces for chaining reasoning agents (LangGraph), tool integrations, and workflow orchestration. Build visual debugging and testing environments for agents, including real-time state visualization and reasoning trace playback. Create prompt and knowledge management UIs with versioning, branching, and side-by-side evaluation capabilities. User Simulation & Outcome TestingArchitect user simulation frameworks within the UI to emulate different personas, intents, and edge cases. Enable scenario-driven testing to measure agent effectiveness in achieving specific business outcomes. Build A/B testing interfaces to compare strategies, prompts, and workflows for optimization. Integrate with LangSmith evaluation APIs to provide developers visibility into success metrics and regression testing. Dialog Orchestration & Multi-Channel Assistant BuildingDevelop multi-dialog authoring experiences to build assistants handling parallel flows, context switching, and hierarchical dialog trees. Support channel-agnostic assistant design with connectors to web chat, SMS, WhatsApp, email, IVR/voice, and custom channels. Provide visual voice design tools (SSML tuning, call flow simulation) for telephony/voice use cases. Real-Time Observability & Debugging ToolsArchitect agent runtime monitoring dashboards integrated with backend telemetry (logs, traces, reasoning paths). Enable step-by-step reasoning visualization for debugging deterministic and probabilistic agents. Design tool usage dashboards showing which APIs/skills agents invoke and their outcomes. Scalable Front-End Platform EngineeringBuild modular, extensible UI frameworks that integrate with backend agent orchestration services.Ensure real-time collaboration (multi-user editing, shared test sessions) for distributed enterprise teams.Enforce enterprise-grade security (RBAC, SSO/OAuth, secure tenant isolation) within the UI layer.Leadership & CollaborationDefine UI technical strategy and roadmap in alignment with platform and backend architects.Partner closely with backend engineers, ML teams, and product managers to deliver cohesive, integrated experiences.Mentor frontend/UI engineers and establish best practices for performance, accessibility, and developer tooling.Advocate for intuitive developer experience (DX) for building, testing, and deploying agents.  Please note: This is a hybrid role that will be based in San Mateo, CA or Bellevue, WA and requires an in-office presence three days per week (Tuesday - Thursday).