# Core AI Engineering Manager at G-Research

> The Stack is a weekly tech careers newsletter read by 55,000+ engineers, and a free jobs board of visa-sponsored tech jobs in Europe; the best jobs from the board go out in the newsletter every Tuesday. This is one job from the board.

> Responsibilities: - Lead the Core AI team and own the AI inf

- **Company:** G-Research (https://jobs.trythestack.co/companies/g-research)
- **Location:** United Kingdom
- **Work arrangement:** On-site
- **Employment type:** Full-time
- **Experience level:** 10+ years
- **Visa sponsorship:** Offered, according to the listing
- **Key skills:** Engineering management, Platform strategy, C#, Python, Distributed systems, Kubernetes, Docker, Terraform, CI/CD, GPU infrastructure, Model serving, Inference infrastructure, MCP servers, Sandboxing, Infrastructure roadmap
- **Posted by employer:** 2026-10-29
- **Added to The Stack:** 2026-10-30
- **Listed until:** 2026-12-28
- **Status:** Active
- **Apply:** https://gresearch.wd103.myworkdayjobs.com/G-Research/job/London-UK/Core-AI-Engineering-Manager_R3832 (the employer's own application page)
- **Human page:** https://jobs.trythestack.co/jobs/core-ai-engineering-manager-g-research

## About the role

Responsibilities:
- Lead the Core AI team and own the AI infrastructure roadmap (GPU compute, model serving, developer experience, secure environments).
- Drive build vs. buy decisions and define platform architecture for model serving and inference at scale.
- Design and deliver a centralised MCP gateway and collaborate with platform teams to expose MCP services.
- Define secure sandboxing approaches for autonomous agents and ensure compliance in regulated environments.
- Partner with open-source contributors to influence priorities and integrate relevant OSS features.
- Mentor and grow a team of product-focused engineers; increase developer adoption via SDKs, docs and self-service tools.

Requirements:
- Proven track record leading large-scale platform or infrastructure initiatives and influencing senior stakeholders.
- Expert-level C# and Python skills and solid experience building distributed systems and GPU-optimised platforms.
- Deep Kubernetes knowledge (operators, multi-tenant management, custom schedulers) and infrastructure tooling (Docker, Terraform, CI/CD).
- Hands-on experience with GPU infrastructure, MCP servers, sandboxing technologies and platform optimisation.
- Strong communication, stakeholder management and mentoring skills; experience in regulated or security-sensitive environments is desirable.

## Responsibilities

The Core AI Engineering Manager will lead the team responsible for the firm's foundational AI infrastructure, including GPU compute, model serving, and developer experience. They will drive the infrastructure roadmap, manage stakeholder communication, and mentor a team of product-focused engineers.

## Requirements

The ideal candidate must have extensive experience leading large-scale platform initiatives and strong expertise in C#, Python, and Kubernetes. They should also possess deep knowledge of distributed systems, GPU infrastructure, and the ability to influence stakeholders across the organization.

## FAQ

- **Is this Core AI Engineering Manager role still open?** It was posted on 2026-10-29 and is listed as active on The Stack. Confirm on G-Research's application page before applying.
- **Does G-Research offer visa sponsorship?** This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on G-Research's site.
- **Where is this role located?** The listing gives the location as United Kingdom. It is marked on-site.
- **What skills does this role ask for?** The listing names: Engineering management, Platform strategy, C#, Python, Distributed systems, Kubernetes, Docker, Terraform, CI/CD, GPU infrastructure, Model serving, Inference infrastructure, MCP servers, Sandboxing, Infrastructure roadmap.

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## Notes for agents

- Apply on the employer's page (https://gresearch.wd103.myworkdayjobs.com/G-Research/job/London-UK/Core-AI-Engineering-Manager_R3832). The Stack does not take applications.
- Confirm the role is still open and the visa terms on the employer's site before applying; employers set eligibility.
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