IND Director, Applied AI and Analytics - GCC145

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 prospect to achieve your goals – and to help others accomplish theirs, too. Join our team as we help shape the future.

Key Responsibilities

• Lead teams to build and operate large and complex data ecosystem leveraging data domains, data products, cloud and modern technology stack
• Lead teams 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.
• Lead teams implementing real time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.
• Stay up to date with industry advancements in GenAI and apply modern technologies and methodologies to our systems. This includes leading prototypes (POCs),



conducting experiments, and recommending innovative tools and technologies to enhance data capabilities enabling business strategy.
• Identify and Champion AI driven Data Engineering productivity improvements capabilities accelerating end-to-end data delivery lifecycle.
• Lead teams designing and developing graph database solutions for complex data relationships supporting AI systems, this also includes developing and optimizing queries (e.g., Cyhper, SPARQL) to enable complex reasoning, relationship discovery, and contextual enrichment for AI agents.
• Lead Implementation of best practices in reliability engineering, including redundancy, fault tolerance, and disaster recovery strategies.
• Simplify architectures to increase velocity, quality, and reliability
• Enable data-driven decisions that advance The Hartford’s strategic growth agenda
• Champion a strong data culture across the enterprise
• Own outco

📌 IND Principal Data Engineer (Hyderabad)
🏢 The Hartford India
📍 Hyderabad