System Architect

EVA Equity Partners acquires enterprise software companies and transforms them into AI-native, profitable, scalable businesses. We don't add AI features. We redesign foundational architecture so autonomous agents can safely build, test, and ship production software at scale.

The role

We are hiring a Agentic Systems Architect to transform 10+ year legacy codebases into high-velocity, agent-operable architectures. This role sits at the intersection of software architecture, AI-agent orchestration, and engineering governance. You will be embedded into EVA portfolio companies, design system patterns and MCP interfaces, and govern what AI generates.

What you'll do

Agent-operable system architecture

• 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

Agentic framework and MCP leadership

• 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

Engineering governance and AI quality control

• 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

What we're looking for

• 7+ years in software architecture, platform engineering
• 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
• Comfort operating in high-ambiguity, high-ownership, remote-first environments

Nice to have

• Experience in PE-backed or SaaS transformation environments
• Background working across multiple companies or codebases as a consultant or fractional leader
• Familiarity with LangGraph, AutoGen, CrewAI, or similar agentic orchestration frameworks

Why this role matters

You are not adding AI features. You are designing the architectural substrate that allows AI to safely build software at scale. This is a career-defining role for architects shaping how autonomous systems write, change, and govern production code.