Data & AI Engineer

Job description

Data & AI Engineer Location: Indianapolis, IN Summary: Develop and integrate the technical components that capture, store, process, and deliver business context to the client’s existing AI ecosystem. Responsibilities: Develop and maintain the Business Context Repository in a client approved environment, using the architecture and standards established for the project. Build data integration pipelines to capture business context from approved sources, including metadata registries, catalogs, workshop outputs, BI reports, and usage information. Implement structured storage and retrieval mechanisms for business definitions, ontology relationships, metadata, business rules, and ground truth datasets. Integrate the repository with the client’s existing Context Injection component and relevant Graph, semantic, and metadata services. Develop Python based automation to extract, transform, validate, and refresh business context. Implement LLM assisted and agentic workflows for context drafting, enrichment, review, and maintenance, including human approval controls. Build scheduled refresh processes, staleness detection, logging, and monitoring mechanisms. Support development of the AI evaluation runner, execute technical integrations, troubleshoot failures, and maintain deployment configurations. Deliver reusable source code, configuration, technical documentation, and operational runbooks to the client’s designated repositories. Requirements Required Technical Expertise: Python, SQL, data engineering, API integration, ETL/ELT, LLM integrations, RAG, agentic AI frameworks, structured and unstructured data processing, cloud services, CI/CD, and data governance.