Senior Agentic Systems Architect (TypeScript, .NET, MCP)

About the role

A remote-first, AI-forward team that acquires enterprise software companies and turns them into AI-native, scalable businesses is hiring a Senior Agentic Systems Architect. The role transforms a 10+ year legacy codebase into a high-velocity, agent-operable architecture, combining software architecture, AI-agent orchestration and engineering governance. It is a full-time contract position, fully remote from Eastern Europe, working US morning hours in Scrum.

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
• Build and maintain the agent context layer: standardized Skills, Rules and Commands for AI-driven engineering workflows
• Build and operate Model Context Protocol (MCP) servers that expose legacy APIs, services and databases as typed, secure, AI-consumable tools
• Own contract-first API design as the main 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 and characterization testing to preserve legacy behavior during refactoring
• Monitor and optimize agentic reasoning loops to balance cost, speed and architectural integrity

Required profile

• 7+ years in software architecture, platform engineering or technical leadership
• Proven experience modernizing large, undocumented legacy systems
• 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; comfortable in high-ambiguity, high-ownership settings
• Nice to have: remote-first or globally distributed teams, SaaS transformations, scale-ups or PE-backed environments

Required skills

• TypeScript.NET and Node.js
• Model Context Protocol (MCP)
• API design and distributed systems