Chief Agentic System Architect

Responsibilities:

• 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, including 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.

Requirements:

• 15+ years of experience 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.