Principal Consultant – Semantic Data & AI Engineering
Tasks
- Build semantic data pipelines
- Define data quality provenance lineage and governance controls
- Design and implement enterprise knowledge graphs
- Develop Python or Java services and APIs
- Evaluate graph databases vector databases and cloud services
- Implement NLP and document intelligence workflows
- Implement batch streaming and API pipelines
- Improve AI accuracy with graph traversal and vector search
- Integrate knowledge graphs with AI and machine learning
- Lead technical workshops architecture decisions and prototypes
- Mentor team members and create reusable patterns
- Prepare training retrieval evaluation and inference data
- Translate business concepts into governed machine readable models
Perks/Benefits
- 401k match
- Commuter benefits
- Dependent care
- FSA
- HSA
- Maternity leave
- Medical/Dental/Vision
- Paternity leave
- Tuition reimbursement
- Wellness reimbursement
Skills/Tech-stack
API Development | AWS | Agile | Automated testing | Azure | BigQuery | CI/CD | Classification | Confidence scoring | Containers | Data Governance | Data Pipelines | Data Quality | Data Transformation | Databricks | Document stores | Embeddings | Entity Extraction | Entity Linking | Git | Google Cloud | Graph Databases | Graph traversal | GraphRAG | JSON-LD | Java | Knowledge Extraction | Knowledge graphs | LLM | Lakehouse | Lineage | Machine Learning | Metadata Management | Microsoft Fabric | NLP | Natural Language | Natural language inference | OWL | Ontology | Production Support | Provenance | Python | RAG | RDF | RDF standards | RDFS | Redshift | Relational databases | Relationship Extraction | SKOS | SPARQL | Semantic Search | Semantic data | Shacl | Snowflake | Taxonomy | Turtle | Vector Databases | Vector Search | Versioning
Education
N/A
Roles
AI | AI Engineer | Consultant | Data Engineer | Engineer | Principal | Principal Consultant
Regions
Countries
States
Cities
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