Core AI Engineering Manager

G-ResearchLondon, EnglandOn-siteFull-timeStaff, 8–12 yearsListed 4 days ago

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About this role

The Core AI team owns the foundational platform that supports AI work across the firm. This includes GPU compute, model serving, developer experience and secure environments for AI agents. We are looking for an exceptional engineering manager to lead and grow the Core AI team within the Basecamp Technology group. You will be communicating platform strategy and impact to senior stakeholders, including the Head of Basecamp Technology and CTO. AI is part of how every team here works, accelerating thinking and delivering impact. All colleagues are expected to bring AI into their daily workflows. In this team, that means building the tools and services that make this possible. Key responsibilities of the role include: Driving the Core AI infrastructure roadmap in line with the firm's AI strategy Leading build versus buy decisions across model serving and inference infrastructure Designing and owning a centralised MCP gateway, working with platform teams to provide MCP services Collaborate with the open-source group to stay up to date and help to drive priorities for feature development in open-source products Defining secure sandboxing approaches for autonomous AI agents Leading and mentoring a team of product-focused engineers Driving developer adoption through SDKs, documentation and self-service tooling

Requirements

The ideal candidate will have the following skills and experience: Proven experience leading large-scale platform or infrastructure initiatives Strong communication skills, with the ability to influence stakeholders across technical and business functions Expert C# and Python skills, with experience building distributed systems Deep Kubernetes expertise, including operators, custom schedulers and multi-tenant cluster management Experience with Docker, Terraform and CI/CD in regulated environments Experience with GPU infrastructure and platform optimisation Experience operating MCP servers at scale, sandboxing technologies and open-source contributions