Semantic Data and AI Engineer

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 knowledge assets (structured and unstructured) for Artificial Intelligence (AI) solutions. This individual will be able to quickly learn new technologies and apply them to business challenges at large corporations, organizations, and federal agencies. The right candidate will have a passion for working with diverse data types and applying new methods and approaches to data challenges with a strategic mindset to advise clients on enterprise AI transformations.

Responsibilities

• Work with data subject matter experts and business users to effectively understand and model their domain of knowledge
• Apply NLP techniques (entity extraction, classification, and document processing) to transform raw data and content into AI-ready assets
• Design, implement, test, and operate end-to-end RAG workflows for client engagements, including retrieval pipeline architecture, embedding strategies, and response evaluation
• Contribute to agentic AI solution design and implementation, including orchestration patterns, tool use, and memory and retrieval integration
• Support a variety of business intelligence projects using AI-based solutions
• Analyze complex datasets and communicate insights to both technical and non-technical stakeholders
• Design and implement data pipelines for ingesting, processing, and enriching structured and unstructured content using SQL, Python, R, or equivalent languages
• Contribute to semantic layer and knowledge graph implementations as part of larger AI solution architectures
• Work with internal and external teams to contextualize data engineering work into larger project context

Requirements

As a federal contractor, Enterprise Knowledge will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer.

Our office is located in Arlington, VA, and operates on a hybrid model. While local candidates are preferred, we are also able to hire remote candidates residing in the following states: CO, FL, MA, NC, NH, NM, NY, OR, PA, RI, TX, and WA.

Required Skills and Qualifications:

• Bachelor's degree in math, statistics, economics, data science, computer science, or a related field
• 5+ years experience working on data analysis project(s) designing reports and designing data analysis approaches and visualizations in a production setting
• Proven experience working directly with clients, providing briefings, facilitating meetings, and presenting work products
• Experience applying machine learning methods and statistical analysis to business use cases
• Proficiency in programming languages such as Python, R, or similar for data analysis and modeling
• Experience with NLP methods: entity extraction, text classification, document processing, or similar techniques applied to unstructured data in a production setting
• Hands-on experience building and optimizing RAG pipelines, including embedding strategies, reranking, and cross-encoder models
• Familiarity with retrieval quality and evaluation metrics (precision, recall, MRR, and user-centric evaluation approaches)
• 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 for delivering and growing work

Preferred Skills and Qualifications:

• Experience designing and working with relational databases
• Experience designing and working with graph databases and SPARQL
• Experience with AI governance practices covering model monitoring, evaluation frameworks, and access entitlements
• Comfortable working with containerized environments; Docker proficiency expected, Kubernetes familiarity a plus
• Experience with cloud platforms (AWS, Azure, or GCP) for deploying and operating AI and data solutions
• Exposure to ontology or taxonomy design, and familiarity with taxonomy/ontology management tools (Progress Semaphore, PoolParty, Synaptica, Mondeca, etc.)
• Experience designing and planning data science projects to meet business requirements
• Experience implementing agentic AI workflows using frameworks such as LangChain, LlamaIndex, LangGraph, BAML, or equivalent

Salary Information:

EK considers a broad range of factors in considering employee salary including a candidate's skills, experience, education, certifications, past successes, and qualifications. A range for a starting pay for this role is $150,000 to $210,000 with most candidates likely to fall in the lower half. This range does not guarantee a specific salary and may be adjusted based on the needs of the company and the candidate's qualifications.