Dropbox20 days ago
Enterprise Context Architect
Salary not specified
MARKET
15,000 ₽median for this role
CISO · 13 jobs with disclosed pay
7,333half of the offers: 9,600–17,69433,750
The employer didn't disclose pay — compare with the market yourself.
Remote - Canada: Select loca…
Responsibilities
- 01Define the source-of-truth strategy for enterprise knowledge: which systems are authoritative, what is indexed centrally versus fetched live, what is eligible for AI use, and what is archived or excluded, informed by an assessment of the authoritative sources behind our highest-value workflows
- 02Define the enterprise standards that make content AI-ready across structure, metadata, provenance, and access, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains
- 03Design 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
- 04Lead 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
- 05Build the federated operating model for enterprise content: stewardship across functions, domains accountable for their own accuracy within shared standards, and lifecycle policies covering review cadence, expiration, material-change triggers, and retirement, tied to business criticality
- 06Define content quality in an AI context. Stand up retrieval and grounding evaluations for priority use cases, extend measurement to workflow traces and policy conformance as systems begin to act, and route findings back into the content lifecycle
- 07Co-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
Requirements
- 017+ 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
- 02Direct experience preparing content for AI consumption, with working fluency in retrieval-augmented generation, grounding, semantic chunking, embeddings, vector search, and citations
- 03Hands-on experience with knowledge graphs, ontologies, or semantic models that structure content for machine consumption
- 04Track record building federated operating models across functions outside direct reporting lines, with evidence of metadata standards or authoring frameworks adopted at scale
- 05Demonstrated ability to influence senior stakeholders across Engineering, IT, Legal, Security, and business functions
- 06Sound judgment on balancing central standards with domain expertise
What we offer
- 01Canada Pay Range $129,200 — $174,800 CAD