Sr. Knowledge Platform Architect - Claims & Ops Job Hartford Connecticut USA,IT/Tech

Job Summary

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.

Work Arrangements

This role can have a Hybrid or Remote work schedule. Candidates who live near one of our offices will be expected to work 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.

Responsibilities

Knowledge Platform & Technology Ownership – 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 – Partner with Sr. Consultant AI Content Strategy and engineering to define and execute strategy supporting the Enterprise Knowledge Team, ensuring content is structured and semantically enriched for consumption by LLMs, agentic systems, and automation platforms (e.g., Amazon Connect, Google Vertex AI). 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). Grounding and citations (source traceability). Quality scoring (completeness, freshness, readability, accuracy signals). Guardrails (approved sources, access control, confidence thresholds).

Team Enablement & Capability Building – Upskill knowledge managers, content strategists, authors, data science and technology staff in Headless CMS fundamentals and architecture patterns;
Modular content design and structured authoring;
Content modeling practices (components, schemas, validations);
Semantic tagging and governance. Create playbooks, training modules, office hours, and “model review” forums to accelerate adoption and consistency.

Influence, Change Leadership & Stakeholder Alignment – 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 change using data, prototypes, and outcome‑based narratives. Drive cross‑functional decisions and alignment across product owners, SMEs, operations, compliance/legal, and technology partners.…