Senior Staff AI Data Engineer

The Hartford

Senior Staff AI Data Engineer leading the development of cutting-edge AI solutions and data systems. Shape the future of technology with a focus on innovation, collaboration, and excellence.

Posted 6/12/2026full-timeHartford • Connecticut, Illinois, North Carolina, Ohio • 🇺🇸 United StatesSenior💰 $135,040 - $202,560 per yearWebsite

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSQL

About the role

Key responsibilities & impact

Lead the implementation of AI data pipelines integrating structured, semi-structured, and unstructured data to support AI and agentic solutions
Develop AI-driven data systems that enhance data capabilities while ensuring adherence to industry best practices
Implement and optimize Retrieval-Augmented Generation (RAG) architectures and integrate them with enterprise data platforms
Design, build, and optimize scalable batch and streaming data pipelines with a focus on performance, resiliency, and operational efficiency
Develop and maintain real-time data streaming pipelines using technologies such as Snowpipe
Develop data domains and data products to support reporting, analytics, AI/ML, and data science use cases
Ensure the reliability, availability, and scalability of data pipelines through monitoring, alerting, and incident management
Implement reliability engineering best practices, including fault tolerance, redundancy, and disaster recovery
Drive engineering discipline across data platforms, including observability, data quality, lineage, and governance
Collaborate with DevOps and infrastructure teams to enable seamless deployment and operation of data systems
Provide architectural leadership in partnership with Data Architects, including defining technical standards and influencing enterprise-wide practices
Develop and integrate graph database solutions to support complex data relationships within AI systems
Apply GenAI approaches to insurance-specific data use cases and challenges
Lead the development of AI-ready data foundations that support scalable, production-grade solutions
Ensure data platforms remain resilient, governed, and cost-efficient, aligned with enterprise cloud and data strategies
Mentor junior engineers and contribute to communities of practice, promoting best practices, reusable patterns, and engineering standards
Stay current with advancements in GenAI and apply relevant technologies and methodologies to platform evolution.

Requirements

What you’ll need

Bachelor's degree in Computer Science, Artificial Intelligence, or a related field
8+ years of data engineering experience with deep expertise in SQL, data modeling, and large-scale data processing systems
Proven experience designing and optimizing ETL/ELT pipelines and orchestration frameworks in enterprise environments
Experience supporting Generative AI data engineering use cases
Hands-on experience implementing production-ready, enterprise-grade GenAI data solutions
Experience implementing RAG pipelines, including retrieval, chunking, embedding, and grounding techniques
Experience operationalizing GenAI pipelines in production environments
Hands-on experience with cloud ecosystems (AWS, GCP, Azure, Snowflake) and Python-based data engineering stacks
Proven ability to deliver resilient, governed, and cost-efficient data platforms at scale
Experience with vector databases and graph databases, including design and optimization.
Strong programming skills in Python
Strong communication skills and ability to explain technical concepts to a broad set of stakeholders.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work hours
Paid time off
Professional development opportunities
Short-term or annual bonuses
Long-term incentives
On-the-spot recognition

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI data pipelinesRetrieval-Augmented Generation (RAG)data modelingETLELTlarge-scale data processingPythondata streaminggraph databasesvector databases

Soft Skills

communicationmentoringcollaborationleadershipproblem-solving

Certifications

Bachelor's degree in Computer ScienceBachelor's degree in Artificial Intelligence