Staff Engineer/Data Engineering
Core
Lead Data and AI Engineering for large, complex data ecosystems, building real-time streaming pipelines, RAG architectures, and knowledge graphs to support Generative AI and Agentic solutions.
Role type
Staff Engineer, Data & AI Engineering
Builds
Scalable real-time data pipelines, production-ready GenAI data solutions, semantic layers, and graph database systems for insurance data.
Domain
Insurance / Generative AI / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data architecture patterns, Cloud platforms (AWS/GCP/Azure), Python, Spark, Snowflake, RAG implementation, Vector databases, Graph databases (Neo4j/Neptune), Synthetic data generation, Data governance, Prompt engineering, Kubernetes, Docker.
Preferred skills
Multi-cloud hybrid AI solutions, P&C or Employee Benefits Insurance industry experience, AI/Cloud certifications.
Technologies
Apache Kafka, AWS Kinesis, Spark streaming, Snowflake, Neo4j, Amazon Neptune, Langchain, Langgraph, PyTorch, TensorFlow, Docker, Kubernetes, AWS Lambda, S3, EC2, GCP Vertex AI, Mongo, DynamoDB.
Responsibilities
Design and maintain scalable real-time data streaming pipelines; Implement RAG architectures and integrate with enterprise data infrastructure; Develop data domains and products for AI/ML consumption; Model domain entities in knowledge graphs; Generate and validate synthetic data for agent evaluation; Champion AI-driven productivity improvements and automated data quality frameworks; Mentor junior team members; Partner with architects to implement AI pipeline vision.
Seniority
Staff, hands-on IC with strategic influence and mentorship