Principal Data Scientist
Core
Design, develop, and deploy production-ready agentic generative AI applications that automate complex workflows and integrate with enterprise systems.
Role type
Principal Data Scientist (Generative AI & Full-Stack)
Builds
Cloud-native agentic AI applications for underwriting, customer service, claims, and risk modeling
Domain
Insurance/Financial Services + Generative AI
Deliverable
production ML models
Required skills
Python, TypeScript, SQL, AWS (Bedrock, SageMaker, Lambda, CDK), MLOps, prompt engineering, agentic architecture, full-stack development, A/B testing, model governance
Preferred skills
Advanced degree in analytical field, multi-cloud agentic architecture, automated MLOps pipelines
Technologies
LangChain, LangGraph, Vue, Spark, Git, CI/CD
Responsibilities
Lead end-to-end AI/ML lifecycle from ideation to production; design agentic workflows with tool calling and orchestration; build secure, scalable AWS infrastructure; partner with stakeholders to identify high-impact use cases; implement MLOps best practices; mentor junior team members
Seniority
Principal, hands-on IC with strategy & mentorship
