Enterprise Context Architect
Core
Designing the central context layer for enterprise AI, defining standards for knowledge structure, retrieval, and action eligibility to ensure AI systems act reliably on trusted data.
Role type
Enterprise Context Architect (AI Knowledge Strategy)
Builds
Enterprise knowledge standards, AI action control models, federated content operating models, and platform connector strategies.
Domain
Enterprise AI, Knowledge Management, Information Architecture
Deliverable
production ML models | product features
Required skills
Enterprise information structuring at scale, AI retrieval and grounding, knowledge graphs and ontologies, federated operating model design, stakeholder influence across functions, balancing central standards with domain expertise
Preferred skills
Enterprise platforms (ServiceNow, Atlassian, M365, Copilot, Slack, Notion), structured authoring (DITA), knowledge operations (KCS), AI evaluation tooling, regulated content domain experience, NIST AI RMF/OWASP GenAI frameworks
Technologies
Retrieval-augmented generation, semantic chunking, embeddings, vector search, citations, knowledge graphs, ontologies, semantic models
Responsibilities
Define source-of-truth strategy for enterprise knowledge; Define enterprise standards for AI-ready content structure and metadata; Design control models for AI actions and safety; Lead platform and connector strategy across the content stack; Build federated operating models for enterprise content stewardship; Define content quality metrics for AI contexts; Co-own criteria for AI content eligibility and permissions modeling
Seniority
Senior, hands-on IC
