Hartford Fire Insurance is seeking a Senior Engineer, Data, to implement AI-driven data solutions and build scalable data pipelines. The role requires expertise in data engineering, cloud technologies, and AI integration, with a focus on enhancing data capabilities for various applications
Job Summary
The role involves implementing AI data pipelines that integrate structured, semi-structured, and unstructured data for Agentic solutions.
Candidates will build scalable real-time data streaming pipelines using technologies like Apache Kafka and AWS Kinesis.
The position requires developing Retrieval-Augmented Generation (RAG) architectures and integrating them with enterprise data infrastructure.
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Hartford Fire Insurance is seeking a Senior Engineer, Data, to implement AI-driven data solutions and build scalable data pipelines. The role requires expertise in data engineering, cloud technologies, and AI integration, with a focus on enhancing data capabilities for various applications.
Skills & Requirements
Must-have
Implement AI data pipelines
Build real-time data streaming with Kafka
Develop RAG architectures
Model knowledge graphs using Neo4j
Python programming skills
Cloud platform experience AWS Azure GCP
Nice-to-have
Strong communication skills
Agile team collaboration
Prompt engineering techniques
Deep learning frameworks PyTorch TensorFlow
Data mesh or fabric concepts
Key Requirements
Bachelor's degree in Computer Science or related field