Knowledge Architect

HEALTHSTREAM INC•Nashville, TN

3d•$101,100 - $150,000•Remote

About The Position

The Knowledge Architect is responsible for the structural design, technical governance, and AI-enhanced evolution of HealthStream’s competency-based knowledge system. This role operates at the intersection of knowledge engineering, data architecture, and applied artificial intelligence—owning the foundational systems that organize, surface, and deliver clinical and professional knowledge across HealthStream’s product ecosystem. The Knowledge Architect defines how knowledge is structured, classified, stored, and accessed—and leads the technical effort to integrate AI-enhanced capabilities that improve the scale, accuracy, and intelligence of that system. This includes designing taxonomies, governing metadata standards, evaluating and implementing AI/ML techniques such as large language models and semantic search, and partnering with engineering teams to build robust, API-driven knowledge infrastructure. This role requires expertise in information architecture, knowledge representation, and modern AI tooling. The candidate must bring rigor and systems thinking to complex knowledge modeling challenges while remaining engaged with the broader product and clinical goals the knowledge system is built to serve. Approximately 10–15% travel is required to support partner engagements, attend workshops and industry conferences, and collaborate with offsite colleagues.

Requirements

Bachelor’s degree in related field
5 or more years of experience in knowledge engineering, information architecture, data architecture, or a closely related discipline
Hands-on experience applying AI/ML techniques
Software development lifecycle and Software as a Service (SaaS) experience strongly preferred
Experience designing and governing enterprise APIs and metadata-driven systems strongly preferred
Ability to model and represent knowledge structures, including hierarchical classification systems
Proficiency with AI/ML tooling and frameworks
Proficiency with technical documentation and diagramming tools
Ability to translate complex architectural decisions into clear guidance for product, engineering, and clinical stakeholders
Ownership mentality—willing to lead through ambiguity and take accountability for system quality and outcomes
Intellectual curiosity and openness to evolving methodologies in AI and knowledge engineering
Establishes high level of credibility and trust internally through demonstrated expertise and sound judgment
Works effectively within a matrixed, cross-functional organization—collaborating across product, engineering, clinical, and data teams
Motivates and guides both direct reports and non-direct collaborators toward shared technical and organizational goals
Influences architectural and product decisions across functional areas without relying on formal authority
Demonstrates systems-level critical thinking—capable of modeling complex interdependencies and anticipating downstream effects of architectural choices
Possesses strong communication and active listening skills; comfortable presenting technical concepts to clinical and executive audiences
Responds to technical setbacks and evolving requirements with a constructive, solution-focused approach
Plans and executes complex, multi-workstream initiatives with minimal supervision and appropriate prioritization

Responsibilities

Adhering to all HealthStream security policies, procedures, and assigned training.
Assisting in designing the architecture of HealthStream’s competency-based knowledge system, including taxonomies, ontologies, metadata schemas, and classification frameworks.
Leading the technical integration of AI/ML capabilities including large language models, retrieval-augmented generation (RAG), semantic search, and NLP pipelines to enhance knowledge discovery, delivery, and maintenance.
Defining and enforcing data quality, governance, and compliance standards for knowledge content, ensuring accuracy, consistency, and auditability across the system.
Designing and maintaining enterprise APIs that expose knowledge services to internal products and external integrations, collaborating closely with engineering on implementation and versioning.
Evaluating emerging AI technologies and knowledge engineering methodologies; developing and maintaining a roadmap for the evolution of the knowledge system.
Partnering with product management, clinical subject matter experts, and data engineering teams to ensure the knowledge architecture reflects the competency frameworks and clinical content needs of its customers.
Building and maintaining tooling for knowledge ingestion, transformation, indexing, and cataloging—supporting both automated pipelines and human curation workflows.
Developing evaluation frameworks and quality metrics to measure the effectiveness, coverage, and clinical accuracy of AI-generated and curated knowledge outputs.
Producing and maintaining comprehensive technical documentation, including architecture diagrams, data dictionaries, API specifications, and AI model behavior guidelines.
Guiding and mentoring cross-functional teams on knowledge architecture principles, AI integration best practices, and system design decisions.
Identifying, resolving, and monitoring technical issues within the knowledge system in collaboration with engineering, product, and client services teams.
Driving ecosystem value by ensuring the knowledge architecture supports integration across HealthStream product lines and third-party platforms.