As an experienced engineer, you'll design and build robust knowledge frameworks enabling AI systems to dynamically interact with structured and unstructured data, facilitating real-time insights and decision-making support.
Requirements
- 8+ years of experience in data, solution architecture, or engineering
- 3+ years of experience with AI, ML, or knowledge-based systems
- Experience in knowledge management, semantic search, and information retrieval
- Experience designing knowledge graphs, ontologies, and semantic frameworks, including RDF, OWL, or Neo4j
- Experience with vector databases, such as Azure AI Search, PostgreSQL PgVector, Pinecone, Weaviate, or FAISS, and graph databases such as Neo4j or AWS Neptune
- Experience in ETL processes, data integration, and scripting, including Python, SQL, or API-driven architectures
- Experience in data governance, curation processes, and quality assurance practices within regulated health environments
- Knowledge of NLP methods and libraries, including spaCy, NLTK, or Hugging Face Transformers
- TS/SCI clearance with a polygraph
- Bachelor’s degree
Benefits
- Health benefits
- Life insurance
- Disability insurance
- Financial benefits
- Retirement benefits
- Paid leave
- Professional development
- Tuition assistance
- Work-life programs
- Dependent care