Company Name: VARITE India Private Limited
About The Client:
An Indian multinational information technology (IT) consulting company headquartered in Noida, The company has offices in 52 countries and over 225,944 employees. The Client is a global IT services and consulting company that offers a wide range of services and products across various industries like IT Infrastructure Services, Cybersecurity Services, Cloud Services, Big Data and Analytics, Internet of Things (IoT) Solutions, Semiconductor Services and Enterprise Software Products.
About The Job:
- Serves as the senior subject-matter expert bridging enterprise data engineering and AI grounding for the Agent Factory. Owns the strategy and design for extracting, normalizing, and grounding Client enterprise data (Databricks, ServiceNow, Snowflake, OneDrive, Adobe, PDFs) for high-quality, reliable AI agent consumption, and advises on data architecture, RAG quality, and AI data governance.
Essential Job Functions:
- Define the enterprise data-to-AI strategy: ingestion, normalization, embeddings, vector stores,
and RAG grounding for agents.
- Architect and oversee data pipelines from source systems into Google Cloud (BigQuery, Vertex AI Search, AlloyDB, Vector Search).
- Own retrieval quality: chunking strategies, embedding models, hybrid search, and grounding accuracy for Finance/Marketing/HR agents.
- Establish AI data governance: data privacy, PII controls, lineage, quality, and access management.
- Advise architects and developers on data readiness, feature/knowledge design, and evaluation of grounded responses.
- Guide model selection and cost/performance trade-offs; mentor Data & AI Engineers and set standards for reusable data assets.
Qualifications:
- Deep enterprise data engineering: pipelines, ETL/ELT, data moClienting, and data quality at scale.
- Hands-on with Google Cloud data stack: BigQuery, Vertex AI Search, AlloyDB/Cloud SQL, Dataflow/Dataproc.
- Solid RAG design: embeddings, vector databa
📌 Data & AI SME (India)
🏢 VARITE
📍 India