AI-Driven Data Profiling Engineer
Core
Design and refine autonomous AI-agent workflows to profile MGA BDX data, ensuring quality outputs for downstream onboarding into the BDX management platform and enterprise data hub.
Role type
Senior IC agentic engineering engineer (insurance data)
Builds
Autonomous agent workflows for data profiling and validation
Domain
Insurance / Data Engineering / Generative AI
Deliverable
production ML models
Required skills
Agentic engineering, autonomous workflow design, prompt engineering, data profiling, data quality analysis, insurance domain knowledge (MGAs, bordereaux, policy/claims data), human-in-the-loop controls, task decomposition, validation logic design
Preferred skills
Experience with Kiro agents, orchestration tools, generative AI, coding agents
Technologies
Kiro agents (Discovery, PMA Extraction, Planning, Profiling, Reviewer, Dashboard Updater), generative AI frameworks, orchestration tools
Responsibilities
Refine autonomous agent workflows for MGA BDX data profiling; Define profiling requirements with data consumers; Review and improve agent behavior, prompts, and outputs; Extract PMA-related information from data; Develop profiling plans for MGA programs; Identify data quality issues and anomalies; Validate profiling results via reviewer-agent and human review; Maintain documentation of profiling rules and workflow changes; Define dashboards and metrics for profiling progress.
Seniority
Senior, hands-on IC
