Chief Agentic System Architect

Decompose legacy monoliths into agent‑readable, modular systems with strict boundaries and single responsibility

Lead incremental modernization using the Strangler Pattern, wrapping legacy logic in modern, contract‑driven interfaces

Enforce SOLID principles, Dependency Injection, and Hexagonal Architecture to ensure deterministic AI execution and low regression risk

Architect and maintain the agent context layer: standardized Skills, Rules, and Commands for AI‑driven engineering workflows

Build and operate Model Context Protocol (MCP) servers exposing legacy APIs, services, and databases as typed, secure, AI‑consumable tools

Own contract‑first API design as the primary interface between human intent and autonomous agent execution

Act as architectural gatekeeper for AI‑generated pull requests, ensuring scalability, security, and long‑term maintainability

Mandate test‑driven development (TDD) and characterization testing to preserve legacy behavior during refactoring

Monitor and optimize agentic reasoning loops to balance cost, speed, and architectural integrity

Requirement

15+ years in software architecture, platform engineering, or technical leadership

Proven experience modernizing large, undocumented legacy systems

Deep hands‑on expertise with TypeScript, .NET, and Node.js

Strong background in API design, distributed systems, and modular architectures

Practical experience with agentic development, MCP, LLM tooling, or AI‑assisted engineering