Lead Data Engineer – Synthetic Data & Conversational AI

Virtusa; Minneapolis (MN); Presencial; USD 110.000 - 150.000; Jornada completa

Descripción de la vacante

Virtusa seeks a data engineering professional to analyze customer domains and generate privacy-conscious synthetic conversation data for voice and chat AI deployments. You will build repeatable pipelines for data generation, ingestion, indexing, and evaluation across GCP and AWS, working with platform and DevOps teams to ensure high quality and retrieval accuracy.

The role emphasizes privacy safety, multilingual data generation, and exposure to large-language model assisted data work.

Formación

• Requires at least four years of experience in data engineering, conversation design operations, applied NLP data work, or knowledge-pipeline engineering.
• Experience with conversational platform data and retrieval-grounded knowledge preferred.

Responsabilidades

• Analyze customer domains and generate realistic, privacy-safe synthetic conversation data for voice, chat, and conversational AI deployments.
• Build and maintain repeatable, parameterized data-generation, ingestion, indexing, and evaluation pipelines across GCP and AWS.
• Coordinate with platform and DevOps partners to ensure data pipelines meet privacy and quality standards.

Conocimientos

Data Engineering

Synthetic Data Generation

RAG Pipelines

Knowledge Pipeline Engineering

Conversational AI

Applied NLP

Data Ingestion

Data Indexing

Retrieval Evaluation

Privacy and PII Validation

BigQuery

Amazon S3

Multilingual Data Generation

Quality Assurance

Descripción del empleo

Virtusa seeks a data engineering professional to analyze customer domains and generate privacy-conscious synthetic conversation data for voice and chat AI deployments. You will build repeatable pipelines for data generation, ingestion, indexing, and evaluation across GCP and AWS, working with platform and DevOps teams to ensure high quality and retrieval accuracy.

The role emphasizes privacy safety, multilingual data generation, and exposure to large-language model assisted data work.