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Senior AI Data Engineer

RyanBPM

Princeton, New Jersey • Today

Easy Apply

Full-time, Third Party

$140 - $150

Need Senior AI Data Engineer

Sarum LLC

Hybrid in Princeton, New Jersey • Today

Easy Apply

Full-time

Depends on Experience

Sr AI Data Engineer

High Bridge Consulting

Remote • 15d ago

Easy Apply

Contract

$50 - $80

Sr AI Data Engineer

GE Aerospace

Remote • Today

Full-time

USD 110.00 per hour

Senior AI Data Engineer

Samsara

Remote • Today

Full-time

USD 118,107.50 - 178,650.00 per year

Senior AI Data Engineer, Data Platforms

EPAM Systems

Remote • Today

Full-time

Lead AI Data Engineer - Healthcare Payer Systems, Claims & Payment Integrity

UnivEdge Consulting LLC

Remote • 14d ago

Easy Apply

Contract

Depends on Experience

Lead AI Data Engineer & Integration Engineer

LOGICEXCELL LLC

Remote • Today

Easy Apply

Third Party, Contract

Depends on Experience

Senior Data & Applied AI Engineer

Johnson & Johnson

Raritan, New Jersey • Today

Full-time

USD 94,000.00 - 151,800.00 per year

Senior AI Engineer

ZS Associates

Princeton, New Jersey • Today

Full-time

Senior Data Engineer II, AI Native

Life360

Remote • Today

Full-time

USD 148,000.00 - 216,500.00 per year

Senior Software Engineer, Data & AI Platform

Omada Health

Remote • Today

Full-time

USD 179,400.00 - 224,300.00 per year

Senior AI ML Software Engineer - Data Platforms - Remote Nationwide or Hybrid in MN or DC

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 120,100.00 - 214,500.00 per year

Senior AI Engineer

Akshaya Inc

Remote • 25d ago

Easy Apply

Contract

Depends on Experience

Senior AI Engineer

Crate and Barrel

Remote or Illinois • Today

Full-time

Senior AI Engineer

3S Business Corporation Inc.

Remote • Today

Easy Apply

Full-time

Depends on Experience

Senior AI Engineer

Shakti Solutions

Remote • 21d ago

Easy Apply

Contract

Depends on Experience

Senior/Principal RAN Digital Twin & AI Simulation Engineer

Parallel Wireless

Remote • Today

Full-time

Senior AI Engineer

Nitor Infotech

Remote • 14d ago

Easy Apply

Contract, Third Party

Depends on Experience

Senior AI Engineer

GitLab

Remote • Today

Full-time

USD 108,400.00 - 129,600.00 per year

Sr AI/ML Engineer with Medical Imaging

People Force Consulting Inc

Remote • Today

Easy Apply

Contract, Third Party

Senior AI Engineer

The Chemours Company

Remote • Today

Full-time

USD 126,067.00 - 196,980.00 per year

Senior AI Developer (Palantir AI Platform)

Vaco by Highspring

Remote • 17d ago

Easy Apply

Full-time

Depends on Experience

Sr. Manager Data Science - Gen AI and Content Systems

Reed Elsevier Technology Services

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Senior Director, Data and AI Engineer

Otsuka Pharmaceutical Co., Ltd.

Remote • Today

Full-time

USD 230,720.00 - 345,000.00 per year

Sr. Manager Data Science - Gen AI and Content Systems

LexisNexis

Remote or Raleigh, North Carolina • Today

Full-time

USD 118,300.00 - 219,800.00 per year

Senior Forward Deployed Engineer, Data & AI

Will-N-Able

Remote • 10d ago

Easy Apply

Contract

Depends on Experience

Senior AI Engineer

EPAM Systems

Remote • Today

Full-time

Senior AI/ML Applied Scientist - Remote

UnitedHealth Group

Remote or Eden Prairie, Minnesota • Today

Full-time

USD 130,000.00 - 162,500.00 per year

Senior AI Engineer

SPA

Remote • Today

Full-time

USD 71,500.00 per year

Job Details

Skills

AI Data Engineer

Summary

Senior AI Data Engineer
Location- Princeton, NJ & NYC, NY (Hybrid)

Role Overview

The AI Data Engineer will specialize in building and optimizing machine learning data pipelines, focusing on AI model tracking, lifecycle management, and integration with AI governance systems. This role combines data engineering expertise with AI/ML knowledge to support the organization's broader data and AI infrastructure initiatives.

Key Responsibilities

Design and implement specialized data pipelines for AI model metadata, training data lineage, and model performance metrics tracking.
Build data infrastructure on Databricks leveraging Spark for large-scale distributed dataset processing.
Develop MCP servers and enable AI data distribution via MCP.
Develop feature engineering pipelines and data preprocessing workflows for AI model training and inference.
Implement model versioning, experiment tracking, and model registry integration using MLflow or similar tools.
Create automated workflows for AI agent discovery, classification, and inventory management across the enterprise.
Design and maintain knowledge graph structures for representing AI model relationships, dependencies, and data lineage.
Build real-time data pipelines for AI model monitoring, drift detection, and performance tracking.
Develop data quality frameworks specific to AI training datasets and validation data.
Collaborate with data scientists to optimize data access patterns and feature store implementations.
Implement security and compliance controls for sensitive AI training data and model artifacts.
Create comprehensive documentation for AI data architectures, schemas, and integration patterns.

Required Skills and Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads.
Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows.
Deep understanding of the machine learning lifecycle, including model training, deployment, and monitoring processes.
Experience with feature engineering, data preprocessing techniques, and ML data pipelines.
Knowledge of vector databases, embeddings, and similarity search for AI applications.
Proficiency in SQL for structured and unstructured data management.
Understanding of data governance, model governance, and AI ethics principles.
Strong analytical and problem-solving capabilities with attention to data quality.
Excellent collaboration skills for working with data scientists, ML engineers, and architects.

Preferred/Nice-to-Have Skills

Experience with generative AI applications, including RAG (Retrieval-Augmented Generation) and fine-tuning.
Knowledge of LangChain, HuggingFace, or other GenAI frameworks.
Familiarity with Azure ML, AWS SageMaker, or Google Vertex AI platforms.
Experience with graph databases (Neo4j, Amazon Neptune) for knowledge graph implementation.
Understanding of AI model explainability and interpretability techniques.
Experience with A/B testing frameworks for ML model evaluation.
Certification in Databricks, AWS, Azure, or Google Cloud Platform AI/ML services.
Publications or contributions to open-source ML projects

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91163236
Position Id: 1193-35549-1789740967
Posted 10 hours ago

Fitment

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Similar Jobs

Need Senior AI Data Engineer

Hybrid in Princeton, New Jersey

•

Today

We have a fulltime role available with our client in Princeton, NJ & NYC, NY. Position: Senior AI Data Engineer Location: Princeton, NJ & NYC, NY (Hybrid) Duration: Fulltime Need 10+ years of experience candidates AI Data Engineer Role Overview The AI Data Engineer will specialize in building and optimizing machine learning data pipelines, focusing on AI model tracking, lifecycle management, and integration with AI governance systems. This role combines data engineering expertise with AI/ML k

Easy Apply

Full-time

Depends on Experience

Senior Data & Applied AI Engineer

Raritan, New Jersey

•

Today

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn m

Full-time

USD 94,000.00 - 151,800.00 per year

Senior AI Data Engineer

New York, New York

•

Today

Required Skills and Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field. 5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads. Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn. Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows. Deep understanding of the machine learning lifecycle, incl

Easy Apply

Full-time

AI Data Engineer

Jersey City, New Jersey

•

16d ago

5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads.Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows.Deep understanding of the machine learning lifecycle, including model training, deployment, and monitoring processes.Experience with feature engineering, data preprocessing techniques, and ML data

Easy Apply

Full-time

Depends on Experience

Job Details

Skills

AI Data Engineer

Summary

Senior AI Data Engineer
Location- Princeton, NJ & NYC, NY (Hybrid)

Role Overview

Key Responsibilities

Design and implement specialized data pipelines for AI model metadata, training data lineage, and model performance metrics tracking.
Build data infrastructure on Databricks leveraging Spark for large-scale distributed dataset processing.
Develop MCP servers and enable AI data distribution via MCP.
Develop feature engineering pipelines and data preprocessing workflows for AI model training and inference.
Implement model versioning, experiment tracking, and model registry integration using MLflow or similar tools.
Create automated workflows for AI agent discovery, classification, and inventory management across the enterprise.
Design and maintain knowledge graph structures for representing AI model relationships, dependencies, and data lineage.
Build real-time data pipelines for AI model monitoring, drift detection, and performance tracking.
Develop data quality frameworks specific to AI training datasets and validation data.
Collaborate with data scientists to optimize data access patterns and feature store implementations.
Implement security and compliance controls for sensitive AI training data and model artifacts.
Create comprehensive documentation for AI data architectures, schemas, and integration patterns.

Required Skills and Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related field.
5-7 years of hands-on experience in data engineering, with at least 2 years focused on AI/ML workloads.
Expert proficiency in Python and experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn.
Strong experience with Databricks, Apache Spark, and distributed computing for ML workflows.
Deep understanding of the machine learning lifecycle, including model training, deployment, and monitoring processes.
Experience with feature engineering, data preprocessing techniques, and ML data pipelines.
Knowledge of vector databases, embeddings, and similarity search for AI applications.
Proficiency in SQL for structured and unstructured data management.
Understanding of data governance, model governance, and AI ethics principles.
Strong analytical and problem-solving capabilities with attention to data quality.
Excellent collaboration skills for working with data scientists, ML engineers, and architects.

Preferred/Nice-to-Have Skills

Experience with generative AI applications, including RAG (Retrieval-Augmented Generation) and fine-tuning.
Knowledge of LangChain, HuggingFace, or other GenAI frameworks.
Familiarity with Azure ML, AWS SageMaker, or Google Vertex AI platforms.
Experience with graph databases (Neo4j, Amazon Neptune) for knowledge graph implementation.
Understanding of AI model explainability and interpretability techniques.
Experience with A/B testing frameworks for ML model evaluation.
Certification in Databricks, AWS, Azure, or Google Cloud Platform AI/ML services.
Publications or contributions to open-source ML projects

Dice Id: 91163236
Position Id: 1193-35549-1789740967
Posted 10 hours ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

Similar Jobs

Need Senior AI Data Engineer

Hybrid in Princeton, New Jersey

•

Today

Easy Apply

Full-time

Depends on Experience

Senior Data & Applied AI Engineer

Raritan, New Jersey

•

Today

Full-time

USD 94,000.00 - 151,800.00 per year

Senior AI Data Engineer

New York, New York

•

Today

Easy Apply

Full-time

AI Data Engineer

Jersey City, New Jersey

•

16d ago

Easy Apply

Full-time

Depends on Experience