
501 - 1000 employees
Founded 1990
☁️ SaaS
📚 Education
👥 HR Tech
SaaS • Education • HR Tech
HealthStream is a healthcare-focused SaaS company that provides workforce management and learning solutions to health systems, provider groups, and care organizations. Its hStream platform and suite of products (learning center, credentialing, scheduling, quality & compliance, resuscitation training and revenue cycle education) deliver content, continuing education, primary-source verification, analytics, and tools to improve competency, safety, regulatory compliance, and operational efficiency across the healthcare workforce. HealthStream serves thousands of healthcare customers and millions of clinicians with a content marketplace, reporting, and integration capabilities.
🔥 5 minutes ago
🎸 Tennessee – Remote
💵 $101.1k - $150k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
🏛️ Architect
🦅 H1B Visa Sponsor
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501 - 1000 employees
Founded 1990
☁️ SaaS
📚 Education
👥 HR Tech
SaaS • Education • HR Tech
HealthStream is a healthcare-focused SaaS company that provides workforce management and learning solutions to health systems, provider groups, and care organizations. Its hStream platform and suite of products (learning center, credentialing, scheduling, quality & compliance, resuscitation training and revenue cycle education) deliver content, continuing education, primary-source verification, analytics, and tools to improve competency, safety, regulatory compliance, and operational efficiency across the healthcare workforce. HealthStream serves thousands of healthcare customers and millions of clinicians with a content marketplace, reporting, and integration capabilities.
• Assist in designing the architecture of HealthStream’s competency-based knowledge system, including taxonomies, ontologies, metadata schemas, and classification frameworks. • Lead 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. • Define and enforce data quality, governance, and compliance standards for knowledge content, ensuring accuracy, consistency, and auditability across the system. • Design and maintain enterprise APIs that expose knowledge services to internal products and external integrations, collaborating closely with engineering on implementation and versioning. • Evaluate emerging AI technologies and knowledge engineering methodologies; develop and maintain a roadmap for the evolution of the knowledge system. • Partner 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. • Build and maintain tooling for knowledge ingestion, transformation, indexing, and cataloging—supporting both automated pipelines and human curation workflows. • Develop evaluation frameworks and quality metrics to measure the effectiveness, coverage, and clinical accuracy of AI-generated and curated knowledge outputs. • Produce and maintain comprehensive technical documentation, including architecture diagrams, data dictionaries, API specifications, and AI model behavior guidelines. • Guide and mentor cross-functional teams on knowledge architecture principles, AI integration best practices, and system design decisions. • Identify, resolve, and monitor technical issues within the knowledge system in collaboration with engineering, product, and client services teams. • Drive ecosystem value by ensuring the knowledge architecture supports integration across HealthStream product lines and third-party platforms.
• 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
• Medical, Dental and Vision insurance • Paid Time Off • Parental Leave • 401k and Roth • Flexible Spending Account • Health Savings Account • Life Insurance • Short- and Long-Term Disability • Medical Bridge Insurance • Critical Illness Insurance • Accident Insurance • Identity Protection • Legal Protection • Pet Insurance • Employee Assistance Program • Fitness Reimbursement
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