Dropbox

Dropbox

Enterprise Context Architect

Remote - Canada: Select locations · Senior

Sponsorship not specifiedDetected 2 days ago
RAGCadenceAdaptability

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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Employer immigration record

from this employer's Department of Labor filings

Green-card filing pattern in this occupation

Context, not a finding about this posting: of this employer's 10 green-card filings in this occupation, 100% were for a worker who already held the job.

Green-card follow-through: 50%

Of 10 labor certifications old enough to have been used, 5 expired without the employer filing the next step. Median time from filing to decision: 497 days.100% of their filings were for a worker who already held the job.Only certifications past the 180-day window are counted — recent ones cannot have expired yet.

Files H-1B transfers

15 transfer filings in the last year, covering 15 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • As AI moves from assistants to systems that act, the structure and stewardship of enterprise knowledge becomes the difference between AI that helps and AI that fails.
  • AI capability changes quickly, and this role changes with it.
  • What a model can interpret, how content needs to be structured for retrieval, and what a system can safely act on all shift as the technology moves.

Responsibilities

  • Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that act on enterprise knowledge stay traceable and safe as AI capabilities evolve.
  • Lead platform and connector strategy across the content stack.
  • Drive decisions on what is refactored, migrated, indexed in place, or consolidated, and partner with IT and Engineering on connector architecture and how AI systems are granted access to tools and sources.
  • Co-own the criteria for AI content eligibility, sensitivity classification, and permissions modeling with Legal, Privacy, and Security, including access boundaries for the tools AI systems can reach.
  • You will lead the central function, setting the strategy, architecture, standards, and operating model that make enterprise knowledge reliable, current, and permissions-aware for both human and AI use, while domain experts stay accountable for the accuracy of their content.
  • You will track those shifts, translate them into practical standards, and revise your own past decisions when the ground moves under them.
  • You will partner with IT, Engineering, Legal, Privacy, and Security, and your decisions will show up directly in how AI performs across the company.

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.
  • Direct experience preparing content for AI consumption, with working fluency in retrieval-augmented generation, grounding, semantic chunking, embeddings, vector search, and citations.
  • Hands-on experience with knowledge graphs, ontologies, or semantic models that structure content for machine consumption.
  • Demonstrated ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions.
  • Sound judgment on balancing central standards with domain expertise.

Nice to have

  • Hands-on 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 knowledge operations methodologies such as 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.
  • AI fluency means using these tools to amplify human judgment, not replace it.
  • We believe people with these skills will thrive as work and technology continue to evolve:
  • Awareness: U nderstand yourself and others.
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This listing is sourced directly from Dropbox's careers page and normalized into a canonical job model.