AI-Native Engineering Practice - Technical Ownership:

• Own and continuously evolve KMS's AI-native SDLC operating model at KMS: agent workflow designs, verification gates, context management standards, and eval frameworks

• Build and lead multi-agent systems using orchestration layers such as Claude Code, GitHub Copilot Workspace, Cursor, LangGraph, CrewAI, or equivalent — from prototype to production

• In collaboration with the Director of Engineering, contribute to and help maintain KMS's AI toolchain selection criteria — evaluating tools with engineering rigor, not hype — and publishing internal guidance on when AI helps and when it hurts

• Establish prompt engineering standards, agent evaluation (evals) loops, and AI output quality gates across the delivery organization

Capability & Standards Leadership

• Prior experience in a lead, princ...