Enterprise Context Architect

🔥 1 hour ago

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Dropbox

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2007

💼 Consulting

🏭 Manufacturing

📦 Logistics

Consulting • Manufacturing • Logistics

Dropbox is a cloud-based service that provides tools for storing, sharing, and accessing files across devices. It offers features such as document sharing, video review, automatic backups, and AI-driven scheduling. Dropbox also provides solutions for different sectors like teams, sales, marketing, and education, and industries including construction, media, technology, and manufacturing. With a focus on security, Dropbox ensures files are encrypted and protected against tampering. It offers integrations with various productivity tools and is trusted by major companies for efficient file management and collaboration.

📋 Description

• Define the source-of-truth strategy for enterprise knowledge, including authoritative systems, indexing, AI eligibility, archiving, and exclusions • Define enterprise standards for AI-ready content across structure, metadata, provenance, and access • Design controls for AI actions, including eligibility rules, preconditions, approvals, escalation, and rollback • Lead platform and connector strategy across the content stack and partner with IT and Engineering on architecture and access • Build a federated operating model for enterprise content, including stewardship, accuracy accountability, and lifecycle policies • Define AI-context content quality and establish retrieval, grounding, workflow-trace, and policy-conformance evaluations • Co-own AI content eligibility, sensitivity classification, permissions modeling, and access boundaries with Legal, Privacy, and Security • Lead the central context-layer function connecting enterprise knowledge to safe, reliable AI use at Dropbox • Track changes in AI capabilities and translate them into practical standards and revised architectural decisions • Partner with IT, Engineering, Legal, Privacy, and Security

🎯 Requirements

• 7+ years designing how information is structured, owned, and maintained at enterprise scale • At least 2 years applying enterprise information architecture 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 • Ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions • Sound judgment balancing central standards with domain expertise • Preferred: hands-on experience with ServiceNow, Atlassian, Microsoft 365 or Copilot Search, Slack, or Notion • Preferred: familiarity with structured authoring such as DITA, controlled vocabularies, or KCS • Preferred: experience with AI evaluation tooling and frameworks • Preferred: background in regulated, policy-heavy, or high-risk content domains • Preferred: working knowledge of NIST AI RMF, OWASP GenAI guidance, or comparable risk frameworks