Description :

Who are we ?

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.

ROLE OVERVIEW :

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 YOULL 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 WERE 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 JOIN EVA :

We offer :

- High ownership, flexibility, and impact in a fast-moving environment.

- Opportunity to work across multiple products, industries, and technologies

- Growth pathways across engineering, product, operations, and leadership

- Remote-first flexibility

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.