AI Data Engineer
Company: Rose International
Location: Hartford
Posted on: July 1, 2025
|
|
|
Job Description:
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, GCP, 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.
Keywords: Rose International, Cambridge , AI Data Engineer, IT / Software / Systems , Hartford, Massachusetts
