IND - Associate Engineer, Data

IND Associate Engineer, Data - GCC061 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.

Data and AI Engineer responsible for Implementing AI data pipelines that bring together structured, semi-structured and unstructured data to support AI and Agentic solutions.    Implement efficient Retrieval-Augmented Generation (RAG)   architectures   and   integration   with enterprise data infrastructure.    Build and   maintain   scalable and robust real-time data streaming pipelines using technologies such as Apache Kafka, AWS Kinesis, Spark streaming, or similar.   Develop data domains and data products for various consumption archetypes including Reporting, Data Science, AI/ML, Analytics etc.   Develop AI-driven systems to improve data capabilities   Ensure the reliability, availability, and scalability of data pipelines and systems through effective monitoring, alerting, and incident management.   Collaborate closely with DevOps and infrastructure teams to ensure seamless deployment, operation, and maintenance of data systems.       Required Skills & Experience :    Bachelor's degree in computer science , Artificial Intelligence, or   related   field.   2 years of data engineering experience including Data solutions, SQL and NoSQL, Snowflake, ETL/ELT tools, CICD, Bigdata, Cloud Technologies (AWS/Google/AZURE), Python/Spark,   Datamesh ,   Datalake   or Data Fabric.    Less than 2 years   of   experience will be considered with advanced degree & applicable internship experience.   1+ years' experience with cloud platforms (AWS, GCP, or Azure)   1+ years of data engineering experience focused on supporting AI technologies.   1+ years implementing AI data solutions.   1+ years with prompt engineering techniques for large language models.   1+ years in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models.   1+ years implementing AI driven data systems supporting agentic   solutions   (AWS Lambda, S3, EC2,   Langchain ,   Langgraph ).   1+ years of programming skills in Python    1+ years with building AI pipelines that bring together structured, semi-structured and unstructured data .     1+ years in vector databases, graph databases, NoSQL, Document DBs, including design, implementation, and optimization. (e.g., AWS open search, GCP Vertex AI, Neo4j, Spanner Graph, Neptune, Mongo, DynamoDB etc.).   Strong written and verbal communication skills   Able to communicate effectively with technical teams     Team player who collaborates effectively across teams     Strong organization and execution skills .   Strong interpersonal and time management skills    Ability to work successfully in a lean, agile, and fast-paced organization,   leveraging   Agile principles and ways of working.    Ability to translate technical topics into business solutions and strategies   About Us  |  Our Culture  |  What It’s Like to Work Here