Principal AI Platform Engineer

Arm; Cambridge; Hybrid; GBP 126,000 - 171,000; Full time

Job summary

Arm in Cambridge is seeking a hands‑on technical leader to build and operate the central AI control plane, ensuring production‑grade reliability for AI services at scale. You will work across Kubernetes, cloud, identity, secrets, networking, telemetry and incident management to provide the production foundation for Arm’s AI platform.

Join a role that emphasizes automation, secure runtime patterns, and incident response, with a hybrid working model and strong growth opportunities within a leading

Qualifications

• Expert level experience deploying and operating production infrastructure in a Linux environment with Kubernetes.
• Strong security fundamentals for production platforms including identity, secrets and access control.
• Familiar with AI platform concepts such as MCP servers and LLM observability.
• Strong automation and scripting skills (Terraform, Go, Python).
• Experience in incident management and production readiness practices.

Responsibilities

• Technical leadership - become a recognised expert and lead engineer on Arm AI platform tech.
• Build, operate and improve production infrastructure for Arm AI platform services.
• Own reliability, monitoring, alerting, incident response and runbooks.
• Develop automation for provisioning, deployment, configuration, backup and upgrades.
• Implement secure runtime patterns including identity, network controls and auditability.
• Contribute to platform roadmap planning and prioritisation.

Skills

Kubernetes

Security fundamentals

Automation scripting

AI platform concepts

Incident management

OpenAI tools / APIs

Tools

Terraform

Go

Python

CI/CD / GitOps tooling

Job description

Job ID 2026-19026 Date posted 23/08/2026 Location Cambridge, United Kingdom Category IT

Job Overview

We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm’s engineering teams. This hands‑on, technical leadership, platform engineering role will help direct and own delivery of the runtime platforms that make AI services reliable, secure, observable and supportable at Arm scale. You will work across Kubernetes, cloud, identity, secrets, networking, telemetry, incident management and automation to provide the production foundation for Arm’s AI platform. Participate in production support and our paid on‑call rota for high impact incident response.

Production AI Runtime Platforms

• Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control‑plane components.
• Design runtime patterns for isolation, scalability, secure execution, capacity management and cost‑aware operation.
• Automate provisioning, configuration, upgrades and lifecycle management using infrastructure‑as‑code and GitOps patterns.

Reliability, Observability And Support

• Define and implement service‑level indicators, service‑level objectives, alerting, dashboards, runbooks and support workflows.
• Incident response, post‑incident review and vendor outage handling for AI services embedded in engineering workflows.
• Build telemetry that helps Arm understand AI platform health, usage, performance, cost and operational risk.

Secure Operations By Default

• Ensure platform components meet production readiness, security and compliance expectations.
• Help make secure AI usage the default by providing reliable paved paths rather than manual or fragmented infrastructure.

Responsibilities

• Technical leadership - this role will become a recognised expert and lead engineer on our AI platform's technology stack.
• Build, operate and continuously improve the production infrastructure for Arm’s AI platform services, using both custom and third party solutions.
• Own reliability, scalability, monitoring, alerting, incident response, runbooks and operational readiness for AI platform components.
• Develop automation for provisioning, deployment, configuration, backup, recovery, patching, upgrades and lifecycle management.
• Implement secure runtime patterns, including workload isolation, secrets management, identity integration, network controls and auditability.
• Contribute towards platform roadmap planning and prioritisation.

Required Skills And Experience

• Expert level experience deploying and operating production infrastructure or platform services in a Linux‑based environment using Kubernetes, containers, cloud or private‑cloud platforms, infrastructure‑as‑code and CI/CD/GitOps tooling.
• Very strong understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging.
• Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability.
• Very strong automation and scripting skills, for example Terraform, Go, Python or similar.
• Experience with incident management, problem management, demand forecasting, and production readiness practices.

“Nice To Have” Skills And Experience

• Experience operating internal developer platforms, AI platforms, model gateways, MCP infrastructure or other shared engineering platforms.
• Experience with service mesh, policy‑as‑code, workload identity, sandboxing, secure runtime environments or multi‑tenant platform designs.
• Experience with regulated or security‑sensitive engineering environments.
• Working knowledge of Open AI tools, products and APIs!

In Return

Joining Arm means being part of an elite team that is high‑reaching and determined to achieve outstanding results. You will collaborate with industry leaders and innovators, contributing to flawless service builds that improve our global operations. We provide an encouraging and inclusive environment that encourages continuous learning and professional growth. Your success is our success, and together we can build services that compete on the world stage!

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email

Hybrid Working at Arm

Arm’s approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team’s needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Salary Range

£126,200 - £170,800 per year