Own the knowledge platform technology roadmap, ensuring capabilities support both human and AI consumption (search, retrieval, API access, orchestration, analytics).
Define and govern target-state knowledge as a service architecture for headless/hybrid CMS, knowledge delivery, and integration patterns across channels and AI services.
Establish platform standards for content lifecycle, versioning, publishing workflows, and traceability to support regulated and high-risk knowledge domains.
Partner with IT/Architecture to ensure platform decisions align with security, privacy, accessibility, resiliency, and enterprise integration standards.
Semantic & Content Model Leadership
Collaborate with Sr. Content Architect to lead the design and evolution of content models (structured, modular, reusable components) and a supporting semantic layer (metadata, taxonomy, entity relationships) to normalize, classify, and define rules for platform-agnostic, AI-safe content.
Define best practices for field enforcement, content validation rules, and model governance (who can change what, how changes are tested, and how impacts are managed).
Enable improved findability and retrieval quality by establishing standards for classification, tagging, synonyms, and relationships (e.g., product, policy, procedure, scenario, jurisdiction, audience).
Guide Business Units in contributing domain models, metadata, and data assets into the enterprise ontology using defined governance and intake processes.
AI Enablement & Integration
Ensure knowledge assets and platform capabilities integrate effectively with AI systems (e.g., retrieval-augmented generation, agent workflows, summarization, classification, routing).
Partner with Sr. Consultant AI Content Strategy on content development pipeline Establish patterns for knowledge-to-AI pipelines: ingestion, transformation, chunking strategy, embedding refresh, and evaluation. Indexing and retrieval (vector + keyword + metadata filters)
Serve as a trusted advisor, translating complex technical concepts into clear business outcomes and risk/reward tradeoffs.
Influence leaders and teams who may be unfamiliar with structured content or skeptical of cha
Benefits
Remote work options
Additional Information
Sr Cons Learning - TD07FE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Sr. Knowledge Platform Architect is a senior role responsible for defining and driving the end-to-end knowledge technology strategy, including headless content management architecture, content modeling, semantic structure (taxonomy/ontology/metadata), and AI integration-to ensure enterprise knowledge assets are AI-ready, governed, and operationally scalable. This role partners closely with Data Science, AI Engineering, Enterprise Architecture, and Knowledge Management to enable reliable knowledge retrieval, reasoning, and automation across AI use cases.
This individual is also accountable for upskilling and coaching the Knowledge Team in modern headless CMS patterns and structured content modeling, building durable internal capability while influencing stakeholders who may be unfamiliar with (or resistant to) new approaches.
The ideal candidate brings a unique blend of technical product leadership, content architecture expertise, AI governance acumen, and cross-functional influence to accelerate the organization's knowledge modernization journey.
WORK ARRANGEMENTS :
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our offices will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise.
Thehartford · Remote