
Principal AI UI Architect
- San Mateo, CA
- Permanent
- Full-time
- Define 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.
- Architect 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.
- Develop 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.
- Architect 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.
- Build 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.
- Define 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.
- 10+ years of experience in UI architecture and frontend engineering for enterprise SaaS or developer platforms
- Proven experience in designing complex, interactive UIs for AI tools, workflow builders, or developer environments
- Proficiency in React (Next.js), TypeScript, WebSockets, and modern state management
- Strong understanding of agentic AI platforms and LLM-driven workflows
- Experience building visual editors (drag-and-drop builders, graph-based workflows) and debugging tools
- Background in multi-channel assistant design (chat, voice/IVR, messaging apps) and conversational UX principles
- Familiarity with real-time collaborative UI design
- Knowledge of AI observability, agent trace visualization, and test-driven AI development
- Expertise in enterprise security in UI platforms (SSO/OAuth, RBAC, multi-tenant UI design)
- Prior experience architecting low-code/no-code AI tooling UIs
- Experience with voice UI frameworks (SSML, telephony APIs, IVR design)
- Familiarity with LangGraph or similar graph-based agent orchestration visualization
- Contributions to open-source AI development or agentic UI frameworks
- Understanding of agent evaluation frameworks (LangSmith) and integration into visual workflows
- Startup experience building highly usable, fast-evolving Ai development platforms