Knowledge Engineer
Core
Design and structure knowledge frameworks to enable AI systems to reason and make informed decisions by capturing expert knowledge into ontologies, knowledge graphs, and semantic models.
Role type
Senior IC Knowledge Engineer (AI/ML)
Builds
Knowledge Graph solutions, semantic models, and graph-based ML models for enterprise AI applications.
Domain
Artificial Intelligence, Knowledge Graphs, Semantic Web, Data Engineering
Deliverable
production ML models
Required skills
Ontology design, Knowledge Graph curation, Graph-based ML model development, Data pipeline design, Relational and graph database management, Cloud platform expertise, Python programming, NLP techniques, Prompt engineering, LLM application development, Team leadership
Preferred skills
Snowflake Data Warehouse proficiency, Microsoft Azure Data Services experience, Schema design, RDF/SPARQL/LPG/SHACL expertise, Vector database knowledge, ETL pipeline tools (Apache NiFi, Airflow), TensorFlow/PyTorch frameworks, Cross-functional collaboration, Client-facing consulting experience
Technologies
Snowflake, Microsoft Azure, RDF, SPARQL, LPG, SHACL, Stardog, Neo4J, Amazon Neptune, Python, TensorFlow, PyTorch, Apache NiFi, Airflow, LLMs
Responsibilities
Lead the design and implementation of AI and semantic solutions; Establish standards for knowledge representation to enhance system interoperability; Mentor junior team members and guide professional growth; Collaborate with cross-functional teams to align technical solutions with business needs; Provide thought leadership on technology trends and innovations; Contribute to sales and pre-sales efforts by making the business case for semantic layer solutions.
Seniority
Senior, hands-on IC with team lead responsibilities
