AI Data Integration Engineer – RAG Platform

CTG delivers IT and business solutions that enhance clients' digital agility. The company is seeking an AI Data Integration Engineer to configure data connectors, implement privacy-preserving ingestion workflows, validate event integrations, and support analytics-ready data for a RAG platform.

Responsibilities:

• Configure platform connectors to ingest partner profiles, public data, and internal documents into a RAG data store
• Implement PII minimization and data masking workflows, including hashing, before RAG ingestion
• Validate webhook/event flows, map data to canonical schemas, and route events to analytics stores
• Partner with Analytics teams to ensure data is queryable and analysis-ready
• Maintain connector configurations, ingestion logs, event mappings, and masking audits

Requirements:

• • ICA connectors and platform ETL/configuration
• • APIs and data integration
• • S3 and Drive connectors
• • CRM integrations, including HubSpot and Salesforce
• • RAG data ingestion and platform-managed embeddings
• • Data masking, PII minimization, and hashing
• • Webhooks, event mapping, and canonical schemas
• • Hands-on experience configuring data connectors or ETL platforms
• • Experience integrating APIs, cloud storage, CRM systems, and data ingestion pipelines
• • Familiarity with RAG platforms and embedding-based ingestion workflows
• Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required
• • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field preferred