Senior AI Specialist

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 platform engineering role will help deliver and be responsible for 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.

• Build/deploy and operate the infrastructure for centrally hosted AI platform services, including MCP server infrastructure, model gateway services and supporting control-plane components.
• Implement 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 Git Ops patterns.

• 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.

• 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.

• Build, operate and continuously improve the production infrastructure for Arm's AI platform services, using both custom and third party solutions.
• Contribute to 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.
• Participate in production support and our paid on-call rota for high impact incident response.

• Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability.
• 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/Git Ops tooling.
• Automation and scripting skills, for example Terraform, Go, Python or similar.

• Awareness of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging.
• 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

This is a chance to help build a new AI Platform capability for Arm. In return, we'll welcome you into a collaborative, low-ego but high performing team, alongside a highly capable and deeply technical set of peers. We will give you room to grow technically, an interesting and challenging role, and an opportunity to improve the lives of thousands of engineers across Arm!

$161,500-$218,500 per year

At Arm, we…