Chief Agentic System Architect

EVA Equity Partners is a private equity firm focused on identifying, acquiring, and transforming under-realized enterprise software companies into high-growth, sustainable businesses. The firm combines a proprietary operating model, refined over decades, with its patented AI-powered platform, EVA™, to drive meaningful operational improvements. EVA Equity Partners provides both capital and disciplined operational leadership to its portfolio companies. By leveraging the EVA™ platform, the firm accelerates value creation, enhances durable EBITDA growth, strengthens customer retention, and builds scalable performance systems. Team members join a results-driven environment at the intersection of private equity, enterprise software, and AI-enabled transformation.
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.
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 & 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 & 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
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
NICE TO HAVE
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
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.

Work arrangement
No