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Semantic Data and AI Engineer

Enterprise Knowledge · Arlington, VA, US

The role

Enterprise Knowledge is hiring a full-time Semantic Data and AI Engineer to design and deploy data discovery, integration, and governance solutions. The role involves applying NLP, building RAG workflows, and contributing to agentic AI solutions for clients. The position requires 5+ years of experience and offers hybrid work from Arlington, VA or remote in select states, with no visa sponsorship.

Location
Arlington, VA, US
Work mode
Hybrid
Level
Senior
Experience
5+ yrs
Sponsorship
Not offered

What we know that the posting doesn’t say

  • Seen todaystill listed on the employer’s careers page
  • Posted 127 days agothe first time we saw it
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Experience and education

  • 5+ years of relevant experience

Key skills

  • nlp
  • entity extraction
  • text classification
  • document processing
  • rag
  • embedding strategies
  • reranking
  • cross-encoder models
  • python
  • r
  • sql
  • machine learning
  • statistical analysis
  • data pipelines
  • knowledge graphs
  • semantic layer
  • agentic ai
  • orchestration patterns
  • tool use
  • memory and retrieval integration
  • business intelligence
  • data visualization

Enterprise Knowledge (EK) is hiring a full-time Semantic Data and AI Engineer to join our growing Semantic Engineering and AI Practice. In this role, you will be responsible for designing and deploying cutting-edge data discovery, integration, and governance solutions for a wide range of organizations around the world. The Semantic Data and AI Engineer will be part of a team working on innovative projects and developing orchestrated data solutions to integrate, enrich, and transform a range of…

Extracted from the employer’s posting. Read it in full on Enterprise Knowledge’s careers page

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