Information Technology System Architect - AI

Role Overview: As a System / Solution Architect with 10 years of experience, you will be responsible for designing systems for agent operability, agentic platform & MCP strategy, and technical governance & AI output quality. Key Responsibilities: - Break down legacy monolithic architectures into modular, agent-navigable systems with well-defined boundaries and clear single responsibilities. - Drive phased modernization using the Strangler Pattern, encapsulating legacy logic within contemporary, contract-driven interfaces. - Champion SOLID principles, Dependency Injection, and Hexagonal Architecture to support deterministic AI execution and reduce regression exposure. - Design and manage the agent context layer, including standardized Skills, Rules, and Commands that power AI-driven engineering workflows. - Develop and maintain Model Context Protocol (MCP) servers that surface legacy APIs, services, and databases as typed, secure, AI-ready tools. - Own contract-first API design as the foundational bridge between human goals and autonomous agent execution. - Serve as the architectural authority over AI-generated pull requests, with accountability for scalability, security, and long-term code health. - Establish test-driven development (TDD) and characterization testing as non-negotiable practices to safeguard legacy behavior through refactoring. - Continuously monitor and tune agentic reasoning pipelines to optimize for cost efficiency, execution speed, and architectural soundness. Qualifications Required: - 15+ years of experience in software architecture, platform engineering, or senior technical leadership. - A track record of successfully modernizing complex, under-documented legacy systems. - Deep hands-on proficiency with TypeScript, .NET, and Node.js. - Strong foundation in API design, distributed systems, and modular software architecture. - Practical familiarity with agentic development workflows, MCP, LLM tooling, or AI-augmented engineering. - A solid inclination toward clean, deterministic, production-ready code. Role Overview: As a System / Solution Architect with 10 years of experience, you will be responsible for designing systems for agent operability, agentic platform & MCP strategy, and technical governance & AI output quality. Key Responsibilities: - Break down legacy monolithic architectures into modular, agent-navigable systems with well-defined boundaries and clear single responsibilities. - Drive phased modernization using the Strangler Pattern, encapsulating legacy logic within contemporary, contract-driven interfaces. - Champion SOLID principles, Dependency Injection, and Hexagonal Architecture to support deterministic AI execution and reduce regression exposure. - Design and manage the agent context layer, including standardized Skills, Rules, and Commands that power AI-driven engineering workflows. - Develop and maintain Model Context Protocol (MCP) servers that surface legacy APIs, services, and databases as typed, secure, AI-ready tools. - Own contract-first API design as the foundational bridge between human goals and autonomous agent execution. - Serve as the architectural authority over AI-generated pull requests, with accountability for scalability, security, and long-term code health. - Establish test-driven development (TDD) and characterization testing as non-negotiable practices to safeguard legacy behavior through refactoring. - Continuously monitor and tune agentic reasoning pipelines to optimize for cost efficiency, execution speed, and architectural soundness. Qualifications Required: - 15+ years of experience in software architecture, platform engineering, or senior technical leadership. - A track record of successfully modernizing complex, under-documented legacy systems. - Deep hands-on proficiency with TypeScript, .NET, and Node.js. - Strong foundation in API design, distributed systems, and modular software architecture. - Practical familiarity with agentic development workflows, MCP, LLM tooling, or AI-augmented engineering. - A solid inclination toward clean, deterministic, production-ready code.