Job Description
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...
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