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

Work Life Group; Fatih; Remote; TRY 7,466,000 - 10,453,000; Full time

Job summary

Work Life Group seeks a senior software architect to transform a 10+ year legacy codebase into a high-velocity, agent-operable architecture at the intersection of software architecture, AI-agent orchestration and engineering governance. This remote-first, globally distributed team offers high ownership, flexibility and impact across multiple products and technologies.

The role focuses on decomposing monoliths, modernizing with the Strangler Pattern, and enforcing SOLID, DI, and Hexagonal

Qualifications

• 7+ years in software architecture or technical leadership.
• Experience modernizing large, undocumented legacy systems.
• Hands-on with TypeScript, .NET, and Node.js.
• Strong background in API design and distributed systems.
• Practical experience with agentic development, MCP, LLM tooling, or AI-assisted engineering.

Responsibilities

• Design agent-operable system architecture across services.
• Lead modernization using the Strangler Pattern with contract-driven interfaces.
• Enforce SOLID, Dependency Injection, and Hexagonal Architecture for deterministic AI execution.
• Own contract-first API design as the primary interface between human intent and autonomous agent execution.
• Act as architectural gatekeeper for AI-generated PRs and ensure scalability, security, and maintainability.

Skills

TypeScript

.NET

Node.js

API design

Distributed systems

Modular architectures

Agentic development

LLM tooling

Engineering governance

Tools

MCP servers

Job description

Want to design the architecture that lets AI agents safely refactor, test and ship production code? Then let's talk.

Our client acquires enterprise software companies and turns them into AI-native, profitable, scalable businesses. They are a remote-first, AI-forward team spread across the globe, offering high ownership, flexibility and impact, work across multiple products and technologies, and growth pathways across engineering, product and leadership.

The job: transform a 10+ year legacy codebase into a high-velocity, agent-operable architecture, at the intersection of software architecture, AI-agent orchestration and engineering governance.

Contract Type: Contract, full-time

Location: Fully remote from Eastern Europe, working US morning hours (Scrum).

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

• 7+ 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