
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 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 YOU’LL DO
1. 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
2. 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
3. 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
- 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 private equity-backed environments
- Comfort operating in high‑ambiguity, high‑ownership settings

About FAiHr
About
We are building the Operating System for Talent. At FAIHR, we believe the talent market has a clarity problem. People struggle to understand their strengths and career direction, while organizations rely on signals that reveal only a fraction of a person’s true potential. Through ReflectEngine™, our reflection-aware AI, we help individuals gain clarity about how they think, work, and grow, and help organizations uncover potential beyond keywords and resumes.
With FAIHR OS™, we bring together career clarity for individuals and intelligence for organizations in one unified platform. By combining verified data with behavioral and growth insights, we enable people to communicate their potential with confidence and help companies make more informed talent decisions. We are building the clarity layer the talent ecosystem has been missing.
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