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HomeCompaniesAirtableAI Agent Architect, Customer Experience

AI Agent Architect, Customer Experience

Airtable · Remote - US · Remote · Active · $196,000–$278,100 / year · Greenhouse

Job facts

FieldValue
CompanyAirtable
TitleAI Agent Architect, Customer Experience
Normalized title-
Department / teamCustomer Support
LocationUnited States
Work modelRemote / Remote
Employment type-
Salary$196,000–$278,100 / year
Statusactive
ATS providerGreenhouse
Posted / first seen2026-02-20 / 2026-05-29
Changed / last seen2026-06-17 / 2026-06-18

Related slices

PageWhat it containsOpen
Company jobsActive postings from Airtable.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Customer Support.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyAirtable
Source25bb9add-5188-42a3-8f0a-d251f7311303
ATS providerGreenhouse

Description

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Join Airtable as an CX AI Architect and own the technical foundation that powers our AI-native customer support experience. You'll design and optimize how our AI agents reason, retrieve, decide, and act—architecting the knowledge systems, decision logic, and guardrails that enable reliable, scalable AI resolution at scale. This role requires deep fluency in how large language models work, hands-on experience with AI agent architectures, and the ability to partner closely with Engineering on production systems. What you'll do Own Agent retrieval accuracy and relevance . Architect the knowledge systems that enable AI agents to surface the right answer on the first try. Measure and improve retrieval precision, contextual relevance, and hallucination rates. Drive automated resolution rates . Build the decision frameworks that allow agents to take confident actions. What APIs do agents need to access? When can they make account modifications? You're accountable for encoding business logic into auditable, predictable systems that resolve issues without human intervention. Manage AI safety and trust. Establish the guardrails that keep resolution rates high while failure rates stay low. You're responsible for what the agent doesn't do wrong: edge cases caught, prompt injection blocked, unintended behaviors prevented. Own the feedback loop. Monitor the observability layer that turns agent behavior into actionable insights. Instrument retrieval accuracy, action success rates, and failure patterns. Use this data to drive measurable week-over-week improvements in agent performance. Continuously improve agent quality. Develop and maintain the prompt architecture that governs how agents reason and respond. Build systematic approaches to versioning, A/B testing, and performance evaluation, measuring consistency, accuracy, and adaptability across scenarios. Drive integration strategy. Architect how agents connect to external systems—billing platforms, CRMs, internal tools, Airtable APIs. Define authentication patterns, error handling, and data transformation. Uptime, error rates, and data accuracy are your metrics. Who you are You understand how large language models work—not just how to use them, but how they reason, where they fail, and why. You're familiar with concepts like RAG architectures, prompt engineering patterns, chain-of-thought reasoning, and agent frameworks. You've built or significantly contributed to AI-powered systems in production. You think in terms of data flows, state management, error handling, and edge cases. You can design complex systems that are both powerful and reliable. You've likely worked in roles like solutions architecture, platform engineering, or technical program management. You can write scripts, work with APIs, query databases, and prototype solutions. You're not a full-time software engineer, but you're dangerous enough to build, test, and validate technical approaches independently. You instrument systems, analyze logs, and use data to diagnose issues and validate improvements. You build dashboards, define metrics, and can tie technical changes to business outcomes like resolution rates and customer satisfaction. You can explain complex AI system behavior to non-technical stakeholders, write clear technical documentation, and translate business requirements into system specifications. You're effective working across engineering, product, and operations teams. Airtable is an equal opportunity employer. We embrace diversity and strive to create a workplace where everyone has an equal opportunity to thrive. We welcome people of different backgrounds, experiences, abilities, and perspectives. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any characteristic protected by applicable federal and state laws, regulations and ordinances. Learn more about your EEO rights as an applicant . VEVRAA-Federal Contractor If you have a medical condition, disability, or religious belief/practice which inhibits your ability to participate in any part of the application or interview process, please complete our Accommodations Request Form and let us know how we may assist you. Airtable is committed to participating in the interactive process and providing reasonable accommodations to qualified applicants. #LI-Remote Compensation awarded to successful candidates will vary based on their work location, relevant skills, and experience. Our total compensation package also includes the opportunity to receive benefits, restricted stock units, and may include incentive compensation. To learn more about our comprehensive benefit offerings, please check out Life at Airtable . For work locations in the San Francisco Bay Area, Seattle, New York City, and Los Angeles, the base salary range for this role is: $196,000 — $278,100 USD For all other work locations (including remote), the base salary range for this role is: $177,000 — $250,300 USD Please see our Privacy Notice for details regarding Airtable’s collection and use of personal data relating to the application and recruitment process by clicking here . For applicants that live in or have a link to Australia, please see this Privacy Collection Statement for details regarding Airtable's collection and use of personal data relating to the application and recruitment process. 🔒 Stay Safe from Job Scams All official Airtable communication will come from an @airtable.com email address. We will never ask you to share sensitive information or purchase equipment during the hiring process. If in doubt, contact us at [email protected] . Learn more about avoiding job scams here .

Full job record

Job ID359084b50cd470a3fd7e2c5d1ac82bbfe1429767
Org IDc499836c-e238-4264-941f-d592b3e43131
Source ID25bb9add-5188-42a3-8f0a-d251f7311303
Board ID25bb9add-5188-42a3-8f0a-d251f7311303
Providergreenhouse
Provider Job Key8409168002
TitleAI Agent Architect, Customer Experience
Normalized Title
Statusactive
Activeyes
Location TextRemote - US
DepartmentCustomer Support
Team
Employment Type
Workplace Typeremote
Remote Policyremote
CountryUnited States
Region
City
Salary Rawsalary range for this role is: $196,000 — $278,100 USD For all other work locations (including remote), the base
Salary Min196,000
Salary Max278,100
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://job-boards.greenhouse.io/airtable/jobs/8409168002
Apply URLhttps://job-boards.greenhouse.io/airtable/jobs/8409168002
First Seen At2026-05-29 22:40:16Z
Last Seen At2026-06-18 07:32:14Z
Last Checked At2026-06-18 07:32:14Z
Last Changed At2026-06-17 07:33:13Z
Inactive At
Source Posted At2026-02-20 15:49:10Z
Source Updated At2026-06-16 13:42:58Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=airtable/date=2026-06-18/2026-06-18T07-32-14-169Z-e70f848ee4a5d532ee17d94beae612b9483ecdd438c5b0e1099acf291f0be6cd.json
Event Fields
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}
Parsed Structured
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  "salary_period": "year",
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  "salary_currency": "USD"
}
Extensions
{}
Native Structured
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  "first_published": "2026-02-20T10:49:10-05:00",
  "application_deadline": null
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