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Enterprise Context Architect

1 month ago
United States
Full-time
Lead
AI (Artificial Intelligence)
Artificial Intelligence and Machine Learning
Notion
Apply Now
Dropbox

Dropbox

Dropbox is a technology company that builds simple, powerful products for individuals and businesses. With over 700 million registered users worldwide, Dropbox offers file sync, sharing, online backup, cloud storage, collaboration tools, and more to st...

Internet Software & Services
1K-5K
Founded 2007
View All Jobs 13

Description

  • Define the source-of-truth strategy for enterprise knowledge, including authoritative systems, indexing approach, eligibility for AI use, and archive or exclusion rules.
  • Define enterprise standards for AI-ready content structure, metadata, provenance, access, and appropriate use of semantic models or knowledge graphs.
  • Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements.
  • Lead platform and connector strategy across the content stack, including refactoring, migration, indexing, consolidation, and access architecture.
  • Build a federated operating model for enterprise content with shared standards, domain stewardship, and lifecycle policies.
  • Define content quality measures for AI use cases and establish retrieval, grounding, workflow trace, and policy conformance evaluations.
  • Co-own AI content eligibility, sensitivity classification, and permissions modeling with Legal, Privacy, and Security.
  • Partner with IT, Engineering, and other stakeholders to shape how AI systems access enterprise tools and sources.
  • Translate changes in AI capability into practical standards and revise previous decisions as needed.

Requirements

  • 7+ years designing how information is structured, owned, and maintained at enterprise scale.
  • At least 2 years applying that work to AI retrieval and grounding.
  • Direct experience preparing content for AI consumption.
  • Working fluency in retrieval-augmented generation, grounding, semantic chunking, embeddings, vector search, and citations.
  • Hands-on experience with knowledge graphs, ontologies, or semantic models.
  • Track record building federated operating models across functions outside direct reporting lines.
  • Evidence of metadata standards or authoring frameworks adopted at scale.
  • Demonstrated ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions.
  • Sound judgment on balancing central standards with domain expertise.
  • Preferred experience with enterprise platforms such as ServiceNow, Atlassian, Microsoft 365 or Copilot Search, Slack, or Notion.
  • Familiarity with structured authoring such as DITA, controlled vocabularies, or KCS.
  • Experience with AI evaluation tooling and frameworks for measuring retrieval quality, groundedness, and answer relevance.
  • Background working in regulated, policy-heavy, or high-risk content domains.
  • Working knowledge of NIST AI RMF, OWASP GenAI guidance, or comparable risk frameworks.

Benefits

  • US Zone 2 salary range: $159,100–$215,300 USD.
  • US Zone 3 salary range: $141,400–$191,400 USD.
  • The role is not available in US Zone 1.

Interested in this position?

Apply directly on the company website

Apply Now

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