Chief Agentic Systems Architect

About the role We are hiring a Chief Agentic Systems Architect to transform a 10+ year legacy codebase into a high‑velocity, agent‑operable architecture. This role sits at the intersection of software architecture, AI‑agent orchestration, and engineering governance. You will design system patterns, MCP interfaces, and cognitive context layers that allow LLMs and autonomous agents to safely refactor, test, and ship production code with minimal human intervention. Key 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: 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 About you 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 Bias toward clean code, deterministic systems, and production‑grade AI Experience with remote‑first or globally distributed teams Background in SaaS transformations, scale‑ups, or PE‑backed environments Comfort operating in high‑ambiguity, high‑ownership settings About us EVA is in the business of acquiring enterprise software companies and transforming them into AI-native, profitable, scalable businesses. By prioritizing Customer Success, we enable companies with strong product market fit to emerge as market leaders through sustained product innovation and high-quality professional services delivered via our global team. We are a remote first company and our team is spread across the globe.