Senior GenAI Data Pipeline Architect

Jobtailor; North Carolina; On-site; USD 150,000 - 230,000; Full time

Job summary

Jobtailor is seeking a senior data and AI engineer to design and build scalable, production-grade data pipelines between on-premise systems and public cloud environments.

You will develop Gen AI and agentic solutions for data curation, enrichment, analysis, and data quality checks, while owning the ingestion-to-retrieval lifecycle and ensuring reproducibility.

Collaborate with cross-functional teams, mentor engineers, and contribute to architecture reviews in a regulated enterprise setting.

Qualifications

• 7+ years of engineering experience or equivalent.
• 2+ years building Gen AI and agentic solutions.
• 3+ years building scalable data pipelines and data quality analysis.
• 5+ years Python with ML frameworks.
• Experience with enterprise-grade AI-ready data platforms.
• Hands-on data pipelines between on-prem and cloud.
• Familiarity with vector databases and embedding models.
• Experience applying AI agents to data quality or analytics.
• Bachelor's degree in CS/ML/Stats or related (desired).

Skills

Data Pipeline Engineering

Gen AI Solutions

Python Programming

Data Quality Analysis

Cloud Environment Integration

Data Profiling

Anomaly Detection

Data Curation

Data Enrichment

Insight Generation

Education

Bachelor's degree in CS/ML/Statistics or related

Tools

Public Cloud Environments

Vector Databases

Embedding Models

Analytics Tooling

Monitoring Frameworks

Job description

Jobtailor is seeking a senior data and AI engineer to design and build scalable, production-grade data pipelines between on-premise systems and public cloud environments.

You will develop Gen AI and agentic solutions for data curation, enrichment, analysis, and data quality checks, while owning the ingestion-to-retrieval lifecycle and ensuring reproducibility.

Collaborate with cross-functional teams, mentor engineers, and contribute to architecture reviews in a regulated enterprise setting.