Principal AI Engineer - Enterprise Transformation

QAD | Redzone is building an enterprise AI platform to support AI-enabled and agentic workflows across the organisation. The AI Centre of Excellence (CoE) is accountable for turning that ambition into deployed, measured, production workflows across priority business functions. The CoE is small, senior and high-leverage. It sets architecture and standards, builds reusable capability, and delivers through a combination of internal engineering and external implementation partners. This is one of six foundational hires and the first dedicated engineering hire in the team.

The Senior AI Engineer is the primary builder in the CoE. You will take prioritised workflows from architecture and PRD through to working, evaluated, production-grade AI systems — and, just as importantly, factor what you build into a reusable component library so that the fifth workflow costs a fraction of the first. This is an applied engineering role with unusually high leverage. You are not building one product; you are building the components, patterns and reference implementations that internal engineers and external partner pods will use to build many. The work spans retrieval, agent orchestration, evaluation, and the unglamorous production engineering — latency, cost, failure handling, observability — that separates a demo from a system the business can depend on. Where this role sits Reports to: Head of the AI Centre of Excellence Technical direction from: Lead AI Architect — you will work alongside them daily, and you are expected to push back when a design will not survive contact with production Works with: The functional AI Engagement Specialists who own the workflows, PRDs and quality bar for the business functions in scope Also partners with QAD engineering teams, Data & Platform Engineering, Security & GRC, and external system integrators Scope: Foundational engineering hire. Expect to set the engineering standard, mentor subsequent hires, and review partner-delivered code. Key responsibilities Building AI and agentic workflows