IND Staff Engineer, Data - GCC064
We’re determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities
- Data and AI Engineering lead for large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack
- Real-Time Data Streaming: Design, build and maintain scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
- Data and AI Engineering lead responsible for Implementing Data and AI pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions. This Includes pre-processing with extraction, chunking, embedding and grounding strategies to get the data ready.
- Develop Data and AI-driven systems to improve data capabilities, ensuring compliance with industry best practices.




- Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.
- Implement efficient Retrieval-Augmented Generation (RAG) architectures and integrate with enterprise data infrastructure.
- Collaborate with cross-functional teams to integrate solutions into operational processes and systems supporting various functions.
- Stay up to date with industry advancements in GenAI and apply contemporary technologies and methodologies to our systems. This includes designing prototypes (POCs) and conduct experiments, and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
- Model domain entities, relationships, and business logic in knowledge graphs (e.g., Neo4j, Amazon Neptune, RDF). Integrate data from multiple sources, ensuring canonical representation and semantic consistency.
- Synthetic data

📌 Staff Engineer/Data Engineering (Hyderabad)
🏢 The Hartford
📍 Hyderabad