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Текст:
Hirify AI/Оригинал
TL;DR
Knowledge Engineering Consultant (AI): Building trusted knowledge graphs, semantic layers, and ingestion pipelines that power customer-service AI agents, copilots, and analytics agents with an accent on ontology design, knowledge curation, and enterprise-scale data integration. Focus on structuring unstructured service content, enabling GraphRAG and vector search, governing knowledge quality, and solving complex knowledge gaps across client systems.
Location: Hybrid role based at one of the listed hirify.global offices in the United States
Hourly salary range: $26.15–$98.94, depending on office location, role, skills, and experience.
Company
hirify.global is a global professional services company helping organizations build digital capabilities and improve operations through technology, cloud, data, AI, and industry expertise.
What you will do
Assess customer-service knowledge across knowledge bases, document repositories, CRM and ticketing systems, and agent notes.
Build knowledge graph components, semantic solutions, ingestion pipelines, and curation workflows that create a trusted source of truth.
Design and maintain ontologies and taxonomies covering products, customer issues, symptoms, resolutions, policies, and entitlements.
Prepare governed knowledge for AI retrieval through knowledge graphs, GraphRAG, and vector search, supporting virtual agents, copilots, and analytics agents.
Implement governance for ownership, versioning, review cycles, and access rules; identify knowledge gaps from service interactions and feed them into content curation.
Collaborate with client knowledge managers, service operations teams, engineers, architects, designers, and delivery leads; support solution evidence and sales efforts when needed.
Requirements
3+ years of experience in customer service, contact center, or customer experience projects or operations, with understanding of knowledge quality metrics such as first-contact resolution, average handle time, containment, and CSAT.
At least 3 of the following: 2+ years with knowledge graph technologies including RDF, SPARQL, LPG, or SHACL; 2+ years in schema design, ontology management, and knowledge graph curation; 2+ years designing knowledge graph solutions and graph-based ML models; 1+ year implementing end-to-end data pipelines for AI or LLM applications; or 2+ years with relational, object, graph, and vector databases.
Hands-on ability to formulate service problems into practical, efficient, and scalable AI and knowledge graph solutions from ingestion through modeling, curation, and deployment.
Experience designing, evaluating, and maintaining ontologies and explaining knowledge graph and AI approaches in plain language.
Ability to collaborate across business, engineering, architecture, design, research, and product stakeholders.
Applicants for employment in the U.S. must have work authorization that does not now or in the future require visa sponsorship.
Nice to have
Experience with Salesforce Knowledge, ServiceNow Knowledge Management, eGain, Zendesk, SharePoint, or Confluence.
Familiarity with Knowledge-Centered Service or similar knowledge management practices.
Experience with GraphRAG, knowledge-grounded retrieval, NLP, search techniques, prompt engineering, LLMs, and agentic systems.
2+ years of hands-on experience with AWS, Azure, or Google Cloud.
2+ years of Python experience with TensorFlow or PyTorch and ETL tools such as Apache NiFi or Airflow.
Team lead, external client-facing consulting, and broad ML experience.
Strong collaboration across engineering, research, and product teams in multiple time zones.
Culture & Benefits
Hybrid work across listed hirify.global offices in the United States.
Medical, dental, vision, life, and long-term disability coverage.
401(k) plan, bonus opportunities, paid holidays, and paid time off.
Inclusive workplace with equal employment opportunity and reasonable accommodation support.
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