Solution Architect, Claims (Fraud & Leakage)

Responsibilities

• Design and own end-to-end architecture for claims fraud & leakage solutions, data-forward with AI layered on top.
• Stay embedded with dev teams post-design — validate what works in practice and transfer knowledge throughout implementation.
• Architect data flows across medallion layers (bronze/silver/gold) and design how AI/agents consume curated data.
• Design and guide Gen AI and agentic solutions on AWS.
• Drive technical and business discussions — ask the right questions about business value and context, not just technical feasibility.

Skills

• Prior hands-on background as a software developer, data engineer, or data scientist, with a track record of migrating into architecture.
• Strong, current hands-on capability — someone who actively works with AI/LLM technology and understands where it genuinely fits (and where it doesn't).
• Demonstrated ability to architect across both data and AI — not siloed in one.
• Practical knowledge of data lakehouse / medallion architecture and agent-consumption patterns.
• Leadership presence and strong communication; comfortable driving cross-functional conversations.