AI Agent Architect, Customer Experience

1 hour, 46 minutes ago
Full-time
Lead
Artificial Intelligence and Machine Learning
Airtable

Airtable

Airtable is a low-code platform for building next-gen apps, organizing data, and streamlining workflows with AI. It combines the speed of a spreadsheet with the power of a database, offering collaborative features and templates for various needs.

IT Services
1K-5K
Founded 2012
$1400M raised

Description

  • Own agent retrieval accuracy and relevance by architecting knowledge systems that surface the right answer on the first try.
  • Drive automated resolution rates by building decision frameworks and encoding business logic into auditable systems.
  • Manage AI safety and trust by establishing guardrails that prevent prompt injection, unintended behaviors, and other failure modes.
  • Own the feedback loop by monitoring observability signals, instrumenting key metrics, and driving week-over-week performance improvements.
  • Continuously improve agent quality by developing prompt architecture and leading versioning, A/B testing, and evaluation processes.
  • Drive integration strategy by architecting how agents connect to external systems such as billing platforms, CRMs, internal tools, and Airtable APIs.
  • Define authentication patterns, error handling, and data transformation for agent integrations.
  • Collaborate closely with Engineering, Product, and Operations to turn business requirements into production-ready system specifications.

Requirements

  • Deep understanding of how large language models work, including where they fail and why.
  • Familiarity with RAG architectures, prompt engineering patterns, chain-of-thought reasoning, and agent frameworks.
  • Experience building or significantly contributing to AI-powered systems in production.
  • Strong systems thinking around data flows, state management, error handling, and edge cases.
  • Background in solutions architecture, platform engineering, technical program management, or a similar role.
  • Ability to write scripts, work with APIs, query databases, and prototype solutions independently.
  • Experience instrumenting systems, analyzing logs, and using data to diagnose issues and validate improvements.
  • Ability to build dashboards, define metrics, and connect technical changes to business outcomes.
  • Strong communication skills for explaining complex AI behavior and writing clear technical documentation.

Benefits

  • Base salary range of $196,000 to $278,100 USD for San Francisco Bay Area, Seattle, New York City, and Los Angeles.
  • Base salary range of $177,000 to $250,300 USD for all other work locations, including remote.
  • Total compensation may include benefits, restricted stock units, and incentive compensation.
  • Remote work is supported, including for all other work locations.
  • Comprehensive benefit offerings are available.
  • Airtable provides reasonable accommodations during the application and interview process.
  • Equal opportunity employer with a commitment to diversity and inclusion.

Interested in this position?

Apply directly on the company website

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