AI Refactoring Manager at Hive Financial Systems · LumiJobs

Responsibilities

We are looking for an AI Refactoring Manager to lead the rebuild of our legacy lending platform onto a new multi-portfolio architecture, with AI coding agents doing much of the code generation and people owning the judgment, review, and quality bar. This is a hands-on leadership role: you will set the method, run the work, and still read the code.
Our legacy estate is roughly 50 repositories built one portfolio at a time. We are replacing it with true microservices on .NET, Azure, and Kubernetes, designed to scale to 30 lending portfolios through configuration rather than code forks. This is a rebuild, not a line-by-line port: the legacy code tells us what the business needs, and its architecture is not the target. In regulated lending, a wrong amortization schedule, missed disclosure, or leaked borrower record is a compliance event, not just a bug—so speed only counts if quality holds.
Own the rebuild roadmap: sequence which legacy capabilities move first based on business risk, dependencies, and value.
Design and run the AI-assisted engineering workflow: how agents read legacy code, extract business rules, draft services, and hand off to human review.
Build and maintain the prompts, agent instructions, and reusable skills that encode Hive’s architecture standards so AI output starts close to right.
Enforce a test-first discipline: failing acceptance tests exist before code is written, and AI-generated code passes the same gates as human code.
Personally review AI-generated code and set the review bar for the team, with particular attention to money math, borrower data, and portfolio isolation.
Separate live code from dead code in the legacy estate and document the business rules buried in it before they are lost.
Partner with Compliance and Product so regulated behavior (disclosures, payments, adverse action, consent) is captured and proven in tests.
Track and report delivery health (lead time, deployment frequency, change failure rate, recovery time) and AI effectiveness (rework rate, defects traced to AI output).
Coach engineers on working well with AI agents, and decide where AI should not be used.
Evaluate AI coding tools and models, and manage their cost, access, and security posture.

AI Refactoring Manager

Responsibilities

Qualification

Required

Preferred

Company

Hive Financial Systems

More roles at Hive Financial Systems