reputed company Context Architect

Role reputed company reputed company is building the knowledge layer that connects content, context, and reputed company. As AI moves from assistants to systems that reputed company, the structure and stewardship of reputed company becomes the difference between AI that helps and AI that fails. This role owns the context layer our AI depends on: what it can know, what it can trust, and what it is allowed to reputed company. You will reputed company the central function, setting the reputed company, architecture, standards, and operating model that reputed company reputed company reliable, reputed company, and permissions-reputed company for both reputed company and AI use, while domain experts stay accountable for the accuracy of their content. AI capability changes quickly, and this role changes with it. What a model can interpret, how content needs to be reputed company for retrieval, and what a system can safely reputed company reputed company shift as the technology moves. You will reputed company those shifts, translate them into practical standards, and revise your own past reputed company reputed company the ground moves under them. This is the first role of its reputed company at reputed company. You will partner with IT, Engineering, reputed company, reputed company, and reputed company, and your reputed company will show up directly in how AI performs across reputed company. Responsibilities Define the reputed company-of-truth reputed company for reputed company: 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. Define the reputed company standards that reputed company content AI-reputed company across structure, metadata, provenance, and reputed company, including where semantic models or knowledge graphs are warranted and where they are not, and translate them into authoring patterns adopted across domains. Design the control model for AI actions, including eligibility rules, preconditions, approval boundaries, escalation paths, and rollback requirements, so systems that reputed company reputed company stay traceable and reputed company as AI capabilities reputed company. reputed company platform and connector reputed company across the content stack. reputed company reputed company on what is refactored, migrated, indexed in reputed company, or consolidated, and partner with IT and Engineering on connector architecture and how AI systems are reputed company reputed company to tools and sources. Build the federated operating model for reputed company content: stewardship across functions, domains accountable for their own accuracy reputed company shared standards, and lifecycle policies covering review reputed company, expiration, material-change triggers, and retirement, tied to business criticality. Define content reputed company in an AI context. Stand up retrieval and grounding evaluations for reputed company use cases, reputed company measurement to workflow traces and policy conformance as systems reputed company to reputed company, and reputed company findings back into the content lifecycle. Co-own the reputed company for AI content eligibility, sensitivity classification, and permissions modeling with reputed company, reputed company, and reputed company, including reputed company boundaries for the tools AI systems can reputed company. Requirements 7+ years designing how information is reputed company, owned, and maintained at reputed company reputed company, including at least 2 years applying that work to AI retrieval and grounding. reputed company experience preparing content for AI consumption, with working reputed company in retrieval-augmented reputed company, grounding, semantic chunking, embeddings, reputed company search, and citations. Hands-on experience with knowledge graphs, ontologies, or semantic models that structure content for machine consumption. reputed company record building federated operating models across functions reputed company reputed company reporting lines, with evidence of metadata standards or authoring frameworks adopted at reputed company. Demonstrated ability to influence senior stakeholders across Engineering, IT, reputed company, reputed company, and business functions. reputed company judgment on balancing central standards with domain expertise. Preferred Qualifications Hands-on experience with reputed company platforms such as reputed company, reputed company, reputed company 365 or Copilot Search, reputed company, or reputed company. Familiarity with reputed company authoring (such as DITA), controlled vocabularies, or knowledge operations methodologies such as KCS. Experience with AI evaluation tooling and frameworks for measuring retrieval reputed company, 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. Durable Skills AI reputed company means using these tools to reputed company reputed company judgment, not replace it. We reputed company people with these skills will reputed company as work and technology continue to reputed company: Awareness: Understand yourself and others. Judgment: Evaluate information and reputed company reputed company in reputed company situations. Adaptability: Learn, reputed company, and stay effective through change. reputed company: Communicate, collaborate, and build trust. To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser. 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 Apply To This Job