Semantic Data & AI Engineer for Enterprise AI & RAG

Enterprise Knowledge; Virginia (MN); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Enterprise Knowledge (EK) is hiring a full-time Semantic Data and AI Engineer to design and deploy data discovery, integration, and governance solutions for diverse clients worldwide. You will join a growing Knowledge and Data Services Sector, enabling AI transformations across federal agencies and large organizations.

Hybrid model with Arlington, VA office; remote candidates in CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, WA considered.

Qualifications

• 5+ years of experience in data analysis projects, designing reports and data analyses in production.
• Experience applying machine learning methods and statistical analysis to business use cases.
• Proficiency in Python, R, or similar for data analysis and modeling.
• Experience with NLP methods: entity extraction, text classification, document processing in production.
• Hands-on experience building and optimizing RAG pipelines including embedding strategies and reranking.
• Familiarity with retrieval quality metrics (precision, recall, MRR, user-centric evaluations).
• Experience implementing monitoring and observability for RAG/AI components (latency, cache hit rate, data drift).
• Familiarity with data modeling, database architecture, and data integration across heterogeneous sources.
• Interest in consulting and taking on additional responsibilities to deliver and grow work.

Responsibilities

• Work with data experts and business users to model domain knowledge.
• Apply NLP techniques to transform data into AI-ready assets.
• Design and operate end-to-end RAG workflows for client engagements, including retrieval pipelines and embeddings.
• Contribute to agentic AI solution design and implementation (orchestration, tool use, memory retrieval).
• Support BI projects using AI-based solutions.
• Analyze complex datasets and communicate insights to technical and non-technical stakeholders.
• Design data pipelines for ingesting and enriching structured/unstructured content using SQL, Python, or R.
• Contribute to semantic layer and knowledge graph implementations in AI architectures.
• Collaborate with internal and external teams to contextualize data engineering work.

Skills

Client engagement

NLP techniques

RAG pipelines

Retrieval evaluation

Data governance

Education

Bachelor's degree in math, statistics, economics, data science, computer science, or related field

Tools

Python

R

SQL

NLP libraries

Docker

Kubernetes

Cloud platforms (AWS/Azure/GCP)

Graph databases

SPARQL

LangChain

LlamaIndex

Job description

Enterprise Knowledge (EK) is hiring a full-time Semantic Data and AI Engineer to design and deploy data discovery, integration, and governance solutions for diverse clients worldwide. You will join a growing Knowledge and Data Services Sector, enabling AI transformations across federal agencies and large organizations.

Hybrid model with Arlington, VA office; remote candidates in CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, WA considered.