Principal AI Agentic Architect

We are looking for a Principal AI Agentic Architect to lead the technical vision and architectural design of our AI Agentic Platform. This platform will enable enterprises and developers to build, deploy, and manage AI assistants that reason, plan, converse, and execute tasks autonomously. In this role, you will define the architecture and frameworks underpinning conversation orchestration, dialogue management, reasoning engines, and multi-agent collaboration, leveraging technologies like LangChain, LangGraph, LangSmith, and related ecosystems. This role is ideal for a hands-on architect who thrives in a startup-like environment and can design highly scalable, enterprise-grade platforms that solve complex real-world AI problems. Key Responsibilities Platform Architecture & Design: Lead the end-to-end architecture of an AI Agentic Platform enabling multi-agent reasoning, orchestration, and real-time dialog management. Design a reasoning and planning engine that supports agent task decomposition, tool usage, and contextual decision-making.Architect conversation orchestration and dialog management systems for multi-turn, multi-modal interactions across channels (chat, voice, APIs). Define multi-agent coordination (A2A) protocols to support collaborative agents and dynamic role allocation. Establish agent lifecycle management (build, test, deploy, monitor) as a core platform capability. Core AI & Agentic Frameworks: Evaluate and integrate LangChain, LangGraph, LangSmith, and similar frameworks into the platform. Define tool orchestration APIs and connectors for agents to interact with enterprise systems. Build prompt and knowledge governance frameworks for safe and auditable AI assistant behavior. Partner with ML engineers to design LLM reasoning pipelines (chain-of-thought, reflection loops, RAG). Scalability & Enterprise-Grade Architecture: Architect a cloud-native, multi-tenant SaaS platform (microservices, Kubernetes, event-driven architecture). Implement stateful workflows for dialog persistence, memory, and long-horizon planning. Define observability and evaluation pipelines (using LangSmith or equivalent) for tracing, testing, and optimizing agents. Ensure enterprise security, RBAC, compliance (SOC2, GDPR), and cost-optimized LLM/API usage. Technical Leadership & Collaboration: Serve as a thought leader, mentoring engineers and influencing platform architecture across backend, AI, and UI teams. Partner with product and engineering leadership to define the platform roadmap and technical priorities. Drive standards for reasoning agents, prompt management, testing, and reliability in production. Collaborate with Forward Deployment Engineers (FDEs) to incorporate real-world deployment feedback into the architecture. Please note this is a hybrid role with onsite expectations of 3x/week (Tues-Thurs) from our San Mateo, CA HQ or Bellevue, WA office locations.