Artificial Intelligence Engineeer

Booz Allen Hamilton•Atlanta, GA

6d•$99,000 - $225,000

About The Position

Artificial Intelligence Engineeer The Opportunity: Design and build robust knowledge frameworks, enabling AI systems to dynamically interact with structured and unstructured public health data, facilitating 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 to facilitate multi-modal data integration partnering closely with data engineers on data pipeline coordination. Support performance optimization of retrieval processes for public health use cases and 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 architecture or engineering, including AI, ML or knowledge-based systems
Experience in knowledge management, semantic search, and public health information retrieval
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
Knowledge of enterprise search technologies, including Elasticsearch or Solr, and dense vector search methodologies
Public Trust
Bachelor’s degree

Nice To Haves

Experience in designing knowledge graphs, ontologies, and semantic frameworks such as RDF, OWL, or Neo4j
Experience in data governance, curation processes, and quality assurance practices within regulated health environments
Experience with 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 in designing APIs, microservices architecture such as FastAPI or Flask, and caching mechanisms such as Redis
Knowledge of cloud-based AI data platforms such as AWS Kendra, AWS Bedrock, Azure Cognitive Search, or GCP Vertex AI
Knowledge of data ethics, privacy standards, and security protocols
Knowledge of NLP methods and libraries such as spaCy, NLTK, or Hugging Face Transformers
Ability to adopt and implement emerging AI technologies such as LlamaIndex or advanced memory architectures
Possession of superior communication skills, to facilitate collaboration between technical teams, public health experts, and stakeholders

Responsibilities

Design and build robust knowledge frameworks
Enable 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 to facilitate multi-modal data integration partnering closely with data engineers on data pipeline coordination
Support 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