Senior AI Data Engineer

Job overview

The Senior AI Data Engineer role is described as hybrid in Princeton, NJ and New York City, NY; compensation is not specified. The role supports the organization’s broader data and AI infrastructure initiatives. The engineer builds and optimizes data pipelines and infrastructure for AI model metadata, training-data lineage, lifecycle management, and performance monitoring. The work enables governed, reliable AI workflows and supports collaboration with data scientists on data access and feature-store implementations.

What you'll do

• Design pipelines for AI model metadata, training-data lineage, and performance metrics
• build Databricks and Spark data infrastructure
• develop MCP servers and AI data distribution
• create feature-engineering and preprocessing workflows
• implement model versioning, experiment tracking, and registry integration
• automate AI-agent discovery and inventory
• maintain knowledge graphs and real-time monitoring pipelines
• develop AI data-quality frameworks
• collaborate on data access and feature stores
• implement security and compliance controls
• document architectures and integration patterns.

What we're looking for

Skills & competencies

senior ai data engineer

ai data engineering

machine learning

databricks

apache spark

python

mlflow

feature engineering

data pipelines

hybrid

princeton nj

new york city ny

Work arrangement

• Weekend coverage required

Why this role

The description states a need for 10 years of experience and separately lists 5–7 years of data engineering experience, including at least 2 years focused on AI/ML workloads.

About the employer

Aifa Solutions LLC is hiring for this role. Industry: Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services. Sector: 51.