Chief Agentic AI Systems Architect

THE POSITION
We are looking for a Chief Agentic Systems Architect to spearhead the evolution of a 10 year
legacy codebase into a modern agent-ready high-velocity platform.
This position lives at the crossroads of systems architecture AI agent orchestration and
engineering oversight. You will define system design patterns MCP interfaces and intelligent
context layers that enable LLMs and autonomous agents to safely refactor validate and deploy
production code with limited human oversight.

YOUR KEY RESPONSIBILITIES
Designing Systems for Agent Operability
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
Agentic Platform & MCP Strategy
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
Technical Governance & AI Output Quality
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

WHAT YOU BRING
15 years of experience in software architecture platform engineering or senior
technical leadership
A track record of successfully modernizing complex underdocumented legacy systems
Deep hands-on proficiency with and
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 strong inclination toward clean deterministic production-ready code

BONUS QUALIFICATIONS
Experience leading or collaborating within geographically distributed teams
Background in SaaS transitions high-growth scale-ups or private equity-backed
environments
Ability to thrive in high-ambiguity situations with a strong sense of personal accountability

THE BIGGER PICTURE
This isn't about bolting AI features onto existing software.
You will be laying the architectural foundation that empowers AI to build modify and govern
production systems at scale — safely and reliably.
For architects who want to define how autonomous systems shape the future of software
engineering this is that opportunity

Employment Type : Full Time
Experience: years
Vacancy: 1