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A technology company in the United Kingdom is looking for an experienced AI Systems Architect to take ownership of their evolving core system architecture. This hands-on role involves designing infrastructure for distributed edge environments and ensuring system reliability. Candidates should have strong backgrounds in Python and Go, as well as experience with production distributed systems. The position offers significant autonomy and opportunities for long-term technical growth.
My Client is a privately owned technology company operating in a specialist, data-driven domain, currently scaling a complex software platform built around edge computing, distributed systems, and AI workloads. They are seeking an experienced AI Systems Architect to take technical ownership of the core system architecture as the platform evolves and scales. This role is being handled confidentially and offers significant autonomy, influence over technical direction, and long-term progression for the right individual.
This position sits at the intersection of systems architecture, backend engineering, and platform reliability. You will design and build the infrastructure that connects distributed edge environments with backend services, ensuring systems are scalable, observable, and robust in production. The role is hands‑on and suited to someone who enjoys solving complex engineering problems rather than operating purely at a conceptual level.