Artificial Intelligence Engineer

Artificial Intelligence Engineer Design and build robust knowledge frameworks to enable AI systems to dynamically interact with structured and unstructured public health data, facilitating real‑time insights and decision‑making support. Leverage knowledge of base architectures, data modeling for AI agents, Memory and State Management, and RAG Pipeline Design to integrate multi‑modal data in collaboration with data engineers. Optimize retrieval processes for public health use cases, define rigorous data quality standards, and maintain thorough documentation of data architecture while ensuring compliance with data privacy, anonymization protocols, and ethical guidelines. Requirements 1+ years of experience in AI / ML, Generative AI, or knowledge‑based systems 1+ years of experience with cloud platforms Experience in knowledge management and semantic search Experience with vector databases such as Azure AI Search, PostgreSQL PgVector, Pinecone, Weaviate, or FAISS Experience in data engineering and scripting, including Python, SQL, and API‑driven architectures Knowledge of enterprise search technologies such as Elasticsearch and Solr, and dense vector search methodologies Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements Bachelor’s degree Nice to Have Experience developing AI agents and multi‑agent architectures Experience with agent and orchestration frameworks such as LangChain, LlamaIndex, and Pydantic‑AI Full‑stack development experience across front‑end and back‑end systems Experience designing APIs and microservices architectures, including FastAPI or Flask, and caching mechanisms such as Redis Experience with data‑centric AI/ML projects in healthcare, biomedical, or public health sectors Experience with modern data platforms such as Databricks, Apache Spark, and Snowflake Experience in data governance, curation processes, and quality assurance practices within regulated health environments Knowledge of cloud‑based AI data platforms such as Azure Foundry, AWS Bedrock, or GCP Vertex AI Excellent communication skills for collaborating with technical teams, public health experts, and stakeholders Vetting Applicants selected will be subject to a government investigation and may need to meet eligibility requirements of the U.S. government client. Compensation Projected annualized salary range: $77,500.00 to $176,000.00 (USD). The posting will close within 90 days from the posting date. Commitment to Non-Discrimination: All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law. #J-18808-Ljbffr