IND Staff Engineer

About the role

IND Staff Engineer - GCC097 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 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. Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities. Expertise with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Data engineering experience focused on supporting Generative AI technologies. Hands on experience with Snowflake Experience with building Data and AI pipelines that bring together structured, semi-structured and unstructured data. This includes pre-processing with extraction, chunking, embedding and grounding strategies, semantic modeling, and getting the data ready for Models and Agentic solutions. Strong hands-on experience implementing production ready enterprise grade GenAI data solutions. Experience with prompt engineering techniques for large language models. Experience in implementing Retrieval-Augmented Generation (RAG) pipelines, integrating retrieval mechanisms with language models. Intermediate mastery in processing and leveraging unstructured data for GenAI applications. Intermediate mastery in implementing scalable AI driven data systems supporting agentic solutions (AWS Lambda, S3, EC2, Langchain, Langgraph, MCP, A2A). Strong programming skills in Python and familiarity with deep learning frameworks such as PyTorch or TensorFlow. Experience 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.). Mastery in implementing data governance practices, including Data Quality, Lineage, Data Catalogue capture, holistically, strategically, and dynamically on a large-scale data platform. Strong written and verbal communication skills and ability to explain technical concepts to various stakeholders. Expert level collaboration skills across teams, decision making, conflict resolution and relationship building skills. Expertise in mentoring and developing Junior AI or Data Engineers. Familiarity Knowledge of evolving industry design patterns for AI. Strong planning, organization, and execution skills. Ability to provide thought leadership to dynamic and collaborative teams, demonstrating excellent interpersonal skills and time management capabilities. Ability to understand and align deliverables to the departmental and organization strategies and objectives. Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working. Ability to translate complex technical topics into business solutions and strategies, as well as turn business requirements into a technical solution. About Us | Our Culture | What It's Like to Work Here