Chief Agentic Systems Architect

Job Title: Chief Agentic Systems Architect Location: Remote Type: Contract | US Shift ROLE OVERVIEW We are hiring a Chief Agentic Systems Architect to transform a 10+ year legacy codebase into a highvelocity, agentoperable architecture. This role sits at the intersection of software architecture, AIagent 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 1. AGENTOPERABLE SYSTEM ARCHITECTURE Decompose legacy monoliths into agentreadable, modular systems with strict boundaries and single responsibilityLead incremental modernization using the Strangler Pattern, wrapping legacy logic in modern, contractdriven interfacesEnforce SOLID principles, Dependency Injection, and Hexagonal Architecture to ensure deterministic AI execution and low regression risk2. AGENTIC FRAMEWORK & MCP LEADERSHIP Architect and maintain the agent context layer: standardized Skills, Rules, and Commands for AIdriven engineering workflowsBuild and operate Model Context Protocol (MCP) servers exposing legacy APIs, services, and databases as typed, secure, AIconsumable toolsOwn contractfirst API design as the primary interface between human intent and autonomous agent execution3. ENGINEERING GOVERNANCE & AI QUALITY CONTROL Act as architectural gatekeeper for AIgenerated pull requests, ensuring scalability, security, and longterm maintainabilityMandate testdriven development (TDD) and characterization testing to preserve legacy behavior during refactoringMonitor 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 leadershipProven experience modernizing large, undocumented legacy systemsDeep handson expertise with TypeScript, .NET, and Node.jsStrong background in API design, distributed systems, and modular architecturesPractical experience with agentic development, MCP, LLM tooling, or AIassisted engineeringBias toward clean code, deterministic systems, and productiongrade AI NICE TO HAVE Experience with remotefirst or globally distributed teamsBackground in SaaS transformations, scaleups, or private equity-backed environmentsComfort operating in highambiguity, highownership settings Skills:- TypeScript, .NET, NodeJS (Node.js), Generative AI (GenAI) and Agentic AI .