Job Title: Data Engineer (Contact Center AI)

Location: Brampton, ON (Onsite)

Type: Contract

The data backbone owner who ensures our AI systems have clean, structured, real-time data to reason over. You will design ingestion pipelines, vector indexing infrastructure, and governance layers that keep our RAG and agent memory systems accurate and compliant.

About the Role You will architect ETL pipelines, manage vector databases, enforce governance, and build real-time data flows that continuously update embeddings and indexes. Your work ensures our AI agents operate with fresh, trustworthy information.

What You Will Do • Data Pipelines: Build ETL flows for structured/unstructured data, ensuring normalization, deduplication, and semantic consistency.
Vector Infrastructure: Manage pgvector, Azure AI Search, Redis vector indexing, and hybrid search layers.
Data Governance: Implement zero-trust access, privacy controls, and compliance within AI context pipelines.
Real-time Processing:



Build event-driven architectures that continuously refresh embeddings and indexes.

Required Qualifications • Deep experience with distributed data systems, SQL, and orchestration tools.
Experience tuning high-throughput database infrastructure.
Knowledge of Google’s GECX is a plus.
Familiarity with chunking strategies and embedding models.
Real-time Embedding Updates: Event-driven refresh pipelines for RAG and agent memory systems.
Chunking & Embeddings: Semantic chunking, metadata tagging, and embedding model selection.
Search Infrastructure: BM25, hybrid search, inverted indexes, and ranking algorithms.
Performance Tuning: High-throughput read/write optimisation.
Data Quality & Lineage: Validation, schema enforcement, and lineage tracking (e.g., Excellent • Expectations, OpenLineage). We are an Equal Chance Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees

📌 Data Engineer Contact Center Ai Brampton
🏢 Enterprise Solutions
📍 Brampton