Overview
On Site
Hybrid
USD 75.00 per hour
Full Time
Skills
Recruiting
Computer Science
Data Engineering
Large Language Models (LLMs)
Language Models
Optimization
Prompt Engineering
Art
Machine Learning (ML)
Python
Amazon Web Services
Google Cloud
Google Cloud Platform
Vertex
Vector Databases
Neo4j
Amazon Neptune
Data Quality
Software Engineering
Mentorship
Unstructured Data
Workflow
Graph Databases
Artificial Intelligence
Snow Flake Schema
Data Warehouse
Data Processing
Storage
Generative Artificial Intelligence (AI)
Insurance
Use Cases
Job Details
Date Posted: 06/30/2025
Hiring Organization: Rose International
Position Number: 484809
Industry: Insurance
Job Title: AI Data Engineer
Job Location: Hartford, CT, USA, 06155
Work Model: Hybrid
Work Model Details: Onsite T/W/Th each week
Shift: M-F, 8-5
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 7
Min Hourly Rate($): 75.00
Max Hourly Rate($): 85.00
Must Have Skills/Attributes: Artificial Intelligence (AI), Data Engineer, Data Warehouse, GenAI tools, Snowflake
Experience Desired: Data Engineering experience (6 yrs); Experience with generative AI technologies, large language models (2 yrs)
Required Minimum Education: Bachelor's Degree
Job Description
Education Requirements:
Bachelor's in Computer Science, Artificial Intelligence, or a related field.
Required Skills for the AI Data Engineer:
6+ years of experience in data engineering
Awareness of data engineering, with at least some hands on with generative AI technologies.
Ability to showcase implementation of production-ready enterprise-grade GenAI pipelines.
Experience & awareness of prompt engineering techniques for large language models.
Experience & awareness in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
Knowledge of vector databases and graph databases, including implementation and optimization.
Experience & awareness in processing and leveraging unstructured data for GenAI applications.
Proficiency in implementing agentic workflows for AI systems.
AI Data Engineer Overview:
We are seeking a talented and motivated AI Data Engineer to join our innovative team. The ideal candidate will gain strong expertise in generative AI technologies, experience in implementing AI pipelines, and knowledge of vector and graph databases. We're looking for someone with some level of hands-on experience in prompt engineering, unstructured data processing, and agentic workflow implementation. As an AI Data Engineer, you will contribute to the development of advanced AI systems that leverage state-of-the-art generative models, implement efficient RAG (Retrieval-Augmented Generation) architectures, and integrate with our data infrastructure. Familiarity with Snowflake integration and insurance industry use cases is a plus.
Responsibilities:
Design, develop, and implement complex data pipelines for AI/ML, including those supporting RAG architectures, using technologies such as Python, Snowflake, AWS, Google Cloud Platform, and Vertex AI.
Implement on end-to-end generative AI pipelines, from data ingestion to pipeline deployment and monitoring.
Build and maintain data pipelines that ingest, transform, and load data from various sources (structured, unstructured, and semi-structured) into data warehouses, data lakes, vector databases (e.g., Pinecone, Weaviate, Faiss - consider specifying which ones you use or are exploring), and graph databases (e.g., Neo4j, Amazon Neptune - same consideration as above).
Develop and implement data quality checks, validation processes, and monitoring solutions to ensure data accuracy, consistency, and reliability.
Implement end-to-end generative AI data pipelines, from data ingestion to pipeline deployment and monitoring.
Develop complex AI systems, adhering to best practices in software engineering and AI development.
Work with cross-functional teams to integrate AI solutions into existing products and services.
Keep up-to-date with AI advancements and apply new technologies and methodologies to our systems.
Assist in mentoring junior AI/data engineers in AI development best practices.
Implement and optimize RAG architectures and pipelines.
Develop solutions for handling unstructured data in AI pipelines.
Implement agentic workflows for autonomous AI systems.
Develop graph database solutions for complex data relationships in AI systems.
Integrate AI pipelines with Snowflake data warehouse for efficient data processing and storage.
Apply GenAI solutions to insurance-specific use cases and challenges.
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
Hiring Organization: Rose International
Position Number: 484809
Industry: Insurance
Job Title: AI Data Engineer
Job Location: Hartford, CT, USA, 06155
Work Model: Hybrid
Work Model Details: Onsite T/W/Th each week
Shift: M-F, 8-5
Employment Type: Temporary
FT/PT: Full-Time
Estimated Duration (In months): 7
Min Hourly Rate($): 75.00
Max Hourly Rate($): 85.00
Must Have Skills/Attributes: Artificial Intelligence (AI), Data Engineer, Data Warehouse, GenAI tools, Snowflake
Experience Desired: Data Engineering experience (6 yrs); Experience with generative AI technologies, large language models (2 yrs)
Required Minimum Education: Bachelor's Degree
Job Description
Education Requirements:
Bachelor's in Computer Science, Artificial Intelligence, or a related field.
Required Skills for the AI Data Engineer:
6+ years of experience in data engineering
Awareness of data engineering, with at least some hands on with generative AI technologies.
Ability to showcase implementation of production-ready enterprise-grade GenAI pipelines.
Experience & awareness of prompt engineering techniques for large language models.
Experience & awareness in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.
Knowledge of vector databases and graph databases, including implementation and optimization.
Experience & awareness in processing and leveraging unstructured data for GenAI applications.
Proficiency in implementing agentic workflows for AI systems.
AI Data Engineer Overview:
We are seeking a talented and motivated AI Data Engineer to join our innovative team. The ideal candidate will gain strong expertise in generative AI technologies, experience in implementing AI pipelines, and knowledge of vector and graph databases. We're looking for someone with some level of hands-on experience in prompt engineering, unstructured data processing, and agentic workflow implementation. As an AI Data Engineer, you will contribute to the development of advanced AI systems that leverage state-of-the-art generative models, implement efficient RAG (Retrieval-Augmented Generation) architectures, and integrate with our data infrastructure. Familiarity with Snowflake integration and insurance industry use cases is a plus.
Responsibilities:
Design, develop, and implement complex data pipelines for AI/ML, including those supporting RAG architectures, using technologies such as Python, Snowflake, AWS, Google Cloud Platform, and Vertex AI.
Implement on end-to-end generative AI pipelines, from data ingestion to pipeline deployment and monitoring.
Build and maintain data pipelines that ingest, transform, and load data from various sources (structured, unstructured, and semi-structured) into data warehouses, data lakes, vector databases (e.g., Pinecone, Weaviate, Faiss - consider specifying which ones you use or are exploring), and graph databases (e.g., Neo4j, Amazon Neptune - same consideration as above).
Develop and implement data quality checks, validation processes, and monitoring solutions to ensure data accuracy, consistency, and reliability.
Implement end-to-end generative AI data pipelines, from data ingestion to pipeline deployment and monitoring.
Develop complex AI systems, adhering to best practices in software engineering and AI development.
Work with cross-functional teams to integrate AI solutions into existing products and services.
Keep up-to-date with AI advancements and apply new technologies and methodologies to our systems.
Assist in mentoring junior AI/data engineers in AI development best practices.
Implement and optimize RAG architectures and pipelines.
Develop solutions for handling unstructured data in AI pipelines.
Implement agentic workflows for autonomous AI systems.
Develop graph database solutions for complex data relationships in AI systems.
Integrate AI pipelines with Snowflake data warehouse for efficient data processing and storage.
Apply GenAI solutions to insurance-specific use cases and challenges.
- **Only those lawfully authorized to work in the designated country associated with the position will be considered.**
- **Please note that all Position start dates and duration are estimates and may be reduced or lengthened based upon a client's business needs and requirements.**
Benefits:
For information and details on employment benefits offered with this position, please visit here. Should you have any questions/concerns, please contact our HR Department via our secure website.
California Pay Equity:
For information and details on pay equity laws in California, please visit the State of California Department of Industrial Relations' website here.
Rose International is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender (expression or identity), national origin, arrest and conviction records, disability, veteran status or any other characteristic protected by law. Positions located in San Francisco and Los Angeles, California will be administered in accordance with their respective Fair Chance Ordinances.
If you need assistance in completing this application, or during any phase of the application, interview, hiring, or employment process, whether due to a disability or otherwise, please contact our HR Department.
Rose International has an official agreement (ID #132522), effective June 30, 2008, with the U.S. Department of Homeland Security, U.S. Citizenship and Immigration Services, Employment Verification Program (E-Verify). (Posting required by OCGA 13/10-91.).
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.