Designing robust AI knowledge frameworks for dynamic interaction with public health data. Leading performance optimization and ensuring compliance with data privacy standards in health management.
Responsibilities
Design and build robust knowledge frameworks enabling AI systems to dynamically interact with structured and unstructured public health data
Facilitate real-time insights and decision-making support
Leverage knowledge of the design and implementation of base architectures, data modeling for AI agents, Memory and State Management, and construction of RAG Pipeline Design for multi-modal data integration
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
Requirements
4+ years of experience in data science, solution architecture, or data engineering
2+ years of experience with AI, ML, or knowledge-based systems
Experience in knowledge management, semantic search, and public health information retrieval
Experience designing knowledge graphs, ontologies, and semantic frameworks, including PEFT, RDF, OWL, or Neo4j
Experience with vector databases, including Azure AI Search, PostgreSQL PgVector, Pinecone, Weaviate, or PyTorch
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
Experience in analytics to abstract complex public health data into structured, actionable models
Experience in data-centric AI or ML projects within healthcare, biomedical, or public health sectors
Experience designing APIs, microservices architecture, including FastAPI or Flask, and caching mechanisms such as Redis
Knowledge of cloud-based AI data platforms, including AWS Kendra, AWS Bedrock, Azure Cognitive Search, or GCP Vertex AI
Knowledge of data ethics, privacy standards, and security protocols
Ability to adopt and implement emerging AI technologies such as LlamaIndex or advanced memory architectures
Benefits
health, life, disability, financial, and retirement benefits
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