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Semantic Data and AI Engineer

1 week, 1 day ago
United States
Full-time
Senior
AI Engineer
Software Development
AWS Azure Docker GCP Kubernetes Machine Learning NLP Python R SQL
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Enterprise Knowledge

Enterprise Knowledge

Enterprise Knowledge specializes in knowledge management consulting, offering strategic solutions in taxonomy design, application development, and project management to help organizations effectively capture, manage, and utilize their information asset...

Professional Services
51-250
Founded 2013
View All Jobs

Description

  • Work with data subject matter experts and business users to model domains of knowledge.
  • Apply NLP techniques such as entity extraction, classification, and document processing to prepare data for AI use.
  • Design, implement, test, and operate end-to-end RAG workflows, including retrieval architecture, embedding strategies, and response evaluation.
  • Contribute to the design and implementation of agentic AI solutions, including orchestration, tool use, memory, and retrieval integration.
  • Support business intelligence projects with AI-based solutions.
  • Analyze complex datasets and communicate insights to technical and non-technical stakeholders.
  • Design and implement data pipelines to ingest, process, and enrich structured and unstructured content.
  • Contribute to semantic layer and knowledge graph implementations within broader AI architectures.
  • Work with internal and external teams to place data engineering work in the context of larger client projects.

Requirements

  • Bachelor’s degree in math, statistics, economics, data science, computer science, or a related field.
  • 5+ years of experience working on data analysis projects in a production setting.
  • Experience designing reports, data analysis approaches, and visualizations.
  • Direct client-facing experience, including briefings, facilitating meetings, and presenting work products.
  • Experience applying machine learning methods and statistical analysis to business use cases.
  • Proficiency in Python, R, or similar programming languages for data analysis and modeling.
  • Experience with NLP methods applied to unstructured data in production.
  • Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models.
  • Familiarity with retrieval quality and evaluation metrics such as precision, recall, and MRR.
  • Experience implementing monitoring and observability for RAG and AI components, including latency, success rate, cache hit rate, retrieval quality, and data drift.
  • Familiarity with data modeling, database architecture, and data integration, aggregation, and normalization across heterogeneous sources.
  • Interest in developing as a consultant and taking on additional responsibilities.
  • Must be authorized to work without employer immigration sponsorship or related support.
  • Local candidates preferred for the Arlington, VA hybrid office; remote candidates may reside in CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, or WA.
  • Experience with relational databases, graph databases, and SPARQL (preferred).
  • Experience with AI governance practices, including model monitoring, evaluation frameworks, and access entitlements (preferred).
  • Docker proficiency expected, with Kubernetes familiarity a plus.
  • Experience with AWS, Azure, or GCP for deploying and operating AI and data solutions.
  • Exposure to ontology or taxonomy design and related management tools such as Progress Semaphore, PoolParty, Synaptica, or Mondeca.
  • Experience designing and planning data science projects to meet business requirements.
  • Experience implementing agentic AI workflows using LangChain, LlamaIndex, LangGraph, BAML, or equivalent frameworks.

Benefits

  • Starting salary range of $150,000 to $210,000, with most candidates likely to fall in the lower half.
  • Hybrid work model based in Arlington, VA.
  • Remote work available for candidates in select states.
  • Opportunity to work in a collaborative workplace.
  • Unique benefits offered by the company.
  • Commitment to equity and inclusion.
  • Opportunity to help build an innovative culture.

Interested in this position?

Apply directly on the company website

Apply Now

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