IND - Senior Engineer, Data
The Hartford (company site, opens in a new tab)3+ yrsOn-siteDirect career pageEst. 12–22 LPA
Posted on 22 Sept
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Job description
Structured overview of role & requirements
About This Role
- Implement and maintain AI data pipelines combining structured, semi-structured, and unstructured data to support AI and agentic solutions.
- Build scalable real-time data streaming pipelines and develop data products for various consumption use cases including Reporting, Data Science, AI/ML, and Analytics.
- Design and manage complex knowledge graphs and implement Retrieval-Augmented Generation (RAG) architectures integrated with enterprise data infrastructure.
Minimum Requirements
- Bachelor's degree in Computer Science, Artificial Intelligence, or related field.
- Minimum 3 years of data engineering experience including SQL/NoSQL, ETL/ELT, Cloud technologies, Python/Spark.
- At least 1 year experience specifically implementing AI-driven data solutions and RAG pipelines.
- Minimum 2 years experience with cloud platforms (AWS, GCP, or Azure).
Ideal Candidate Profile
- Experienced in developing scalable, AI-enabled data systems with hands-on skills in vector, graph, and document databases.
- Comfortable working collaboratively across technical and DevOps teams in an agile, fast-paced environment.
- Strong ability to translate complex technical AI/data topics into actionable business strategies and solutions.