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DropboxDropboxUnited States

Enterprise Context Architect

Leads Dropbox’s enterprise context strategy for AI, defining knowledge architecture, content standards, permissions, action controls, connectors, and quality evaluation. Requires 7+ years in enterprise information governance and at least 2 years applying it to AI retrieval and grounding.

141k – 215k/yr
Remote7+ YOEProduct Operations

About the role

Responsibilities

  • Define the source-of-truth strategy for enterprise knowledge, including authoritative systems, centralized indexing versus live fetching, AI eligibility, and archival or exclusion policies.
  • Establish enterprise standards for AI-ready content structure, metadata, provenance, and access, including semantic models or knowledge graphs where appropriate.
  • Design controls 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, connector architecture, and AI access to tools and sources.
  • Build a federated operating model for enterprise content, with domain stewardship, shared standards, and lifecycle policies for review, expiration, material changes, and retirement.
  • Define AI-focused content quality measures 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.

Requirements

  • 7+ years designing how information is structured, owned, and maintained at enterprise scale, including at least 2 years applying that work to AI retrieval and grounding.
  • Experience preparing content for AI consumption, with fluency in retrieval-augmented generation, grounding, semantic chunking, embeddings, vector search, and citations.
  • Hands-on experience with knowledge graphs, ontologies, or semantic models for machine-consumable content.
  • Track record building federated operating models across functions outside direct reporting lines, with metadata standards or authoring frameworks adopted at scale.
  • Ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions.
  • Sound judgment balancing central standards with domain expertise.

Preferred Qualifications

  • Experience with ServiceNow, Atlassian, Microsoft 365, Copilot Search, Slack, or Notion.
  • Familiarity with structured authoring such as DITA, controlled vocabularies, or KCS.
  • Experience with AI evaluation tooling and frameworks for retrieval quality, groundedness, and answer relevance.
  • Background in regulated, policy-heavy, or high-risk content domains.
  • Working knowledge of NIST AI RMF, OWASP GenAI guidance, or comparable risk frameworks.

Compensation

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

Skills

retrieval-augmented generationgroundingsemantic chunkingEmbeddingsvector searchknowledge graphsontologiessemantic modelsservicenowatlassianmicrosoft 365SlackNotionnist ai rmfowasp genai

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