Knowledge Engineer

Knowledge Engineer PositionWithin the Applied Intelligence department, the Knowledge Engineer is the bridge between the business and Avalon's agentic AI systems. The Knowledge Engineer works directly with departments across the enterprise to elicit and document data, business rules, workflows, and institutional knowledge and translate that material into business glossaries, taxonomies, semantic models, and context artifacts that AI agents can reliably consume. The Knowledge Engineer also owns the audit side of this work: designing audit logic and test sets that measure agent accuracy, identifying defects and root causes, and reporting results to business and technical stakeholders.

Partnering with data and AI teams, this role ensures agents answer questions with the right context, definitions, and guardrails while maintaining auditable, current knowledge assets.This position is eligible for remote work, but quarterly travel will be required to Avalon's corporate office located in Tampa, Florida.Essential Functions and ResponsibilitiesPartner with business owners, clinical subject matter experts, and operational leaders across the enterprise to elicit and document the data, business rules, processes, and decision logic behind their work through interviews, workshops, and process walkthroughsProduce current-state and future-state process documentation, workflow maps, and decision trees that make undocumented institutional knowledge explicit and reviewableTranslate business, clinical, and regulatory requirements into structured, machine-readable artifacts including business glossaries, metric and metadata definitions, taxonomies, semantic models, and decision rulesContribute to the semantic layer and context artifacts that agentic AI systems consume, including Snowflake semantic views, verified queries, and the metadata used by Cortex AI and Snowflake IntelligenceCoordinate unstructured and semi-structured content for ingestion, chunking, and retrieval by AI agentsReconcile conflicting definitions, naming, and business logic across departments and drive them to a single agreed-upon source of truthAssist in the definition and document agent scope, guardrails, and escalation pathsDesign and maintain SQL-based audit logic, evaluation sets, and gold-standard question and answer pairs used to measure agent accuracy, groundedness, and completenessAudit agent output against business and clinical expectations, identify defects, perform root cause analysis, and remediate underlying contextBuild reporting and dashboards in Power BI, Tableau, or Streamlit that make agent performance, knowledge coverage, and audit findings visibleMaintain a versioned, auditable knowledge base with change management, lineage, and named business ownershipCollaborate with Snowflake engineers to specify data ingestion, structure, and access requirementsIdentify opportunities to reduce manual effort across the business by applying agentic and automation capabilitiesAssist in the development of pilots, proofs of concept, and production releases of AI agents, data science products and services, and other knowledge-driven applicationsDevelop training materials and lead sessions that teach business users how to work with agentic toolsCollaborate with team members on several projects at onceEmploy strong analytical and organizational skills and attention to detailMinimum QualificationsExtensive experience eliciting requirements and documenting business processes, business rules, reporting logic, and data definitions in partnership with non-technical and clinical stakeholdersDemonstrated ability to translate complex clinical, operational, and regulatory requirements into practical, well-documented solutionsStrong, hands-on SQL skills with the ability to profile, query, audit, and validate data independentlyExperience developing audit, quality measurement, or defect identification logicExperience creating process flow, workflow, and current-state/future-state documentationExperience building reporting or dashboards in tools such as Power BI, Tableau, or SSRSSuperior written communication and documentation skillsExcellent facilitation and interviewing skillsWorking understanding of large language models and agentic AI conceptsAbility to work with ambiguity, structure undefined problems, and drive decisions to closureDesire to learn new software, techniques and methodsPreferred QualificationsHealthcare experience - pharmacy, managed care, health plans, hospitals, pharmaceuticalExperience with medical and lab claims, lab results, eligibility, utilization management, or prior authorization data and workflowsExperience with Snowflake, including semantic views, Cortex AI, and Snowflake IntelligenceHands-on experience building business glossaries, taxonomies, ontologies, semantic models, metadata catalogs, or knowledge graphsExperience with prompt design, retrieval-augmented generation, or evaluation frameworks for AI productsExperience in data governance, master data management, or data stewardshipExperience designing or delivering training, enablement, or knowledge transfer programsExperience with quality reporting or accreditation programs such as HEDIS, Stars, NCQA, or URACBackground in management information systems, healthcare or clinical informatics, information science, or business process analysisExperience with advanced analytics