Design and build robust knowledge frameworks enabling AI systems to dynamically interact with public health data
Facilitate real-time insights and decision-making support
Lead performance optimization of retrieval processes for public health use cases
Define rigorous data quality and curation standards
Collaborate with AI teams and maintain thorough documentation of data architecture
Ensure compliance with data privacy standards, anonymization protocols, and ethical guidelines critical to public health data management

8+ years of experience in data or 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, or semantic frameworks
Experience with vector databases and graph databases
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
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree

AI Solution Engineer

Key skills