AI Agent Architect, Customer Experience

About This Role

Key ResponsibilitiesAI-extracted

• 1
  Own Agent retrieval accuracy and relevance, architecting knowledge systems to surface the right answer on the first try.
• 2
  Build decision frameworks that allow agents to take confident actions, encoding business logic into auditable and predictable systems.
• 3
  Establish guardrails to keep resolution rates high while failure rates stay low, managing AI safety and trust.
• 4
  Monitor the observability layer to drive measurable week-over-week improvements in agent performance, using data to drive improvements.
• 5
  Develop and maintain prompt architecture to govern how agents reason and respond, building systematic approaches to versioning and performance evaluation.

RequirementsAI-extracted

• Deep fluency in how large language models work, including concepts like RAG architectures and prompt engineering patterns.
• Hands-on experience with AI agent architectures, including building or significantly contributing to AI-powered systems in production.
• Ability to design complex systems that are both powerful and reliable, thinking in terms of data flows, state management, and error handling.
• Experience working across engineering, product, and operations teams, with the ability to explain complex AI system behavior to non-technical stakeholders.
• Typically: strong problem-solving skills, with the ability to analyze logs, diagnose issues, and validate improvements.

Perks & BenefitsAI-extracted