Senior AI Platform Engineer

Job Description
We are building a central AI control plane to support the safe, scalable, and efficient use of AI across Arm’s engineering teams.

Job Description
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 own 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.

Production AI Runtime Platforms
You will initially contribute in three key areas:

• 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 Git Ops 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:

• 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.
• Participate in production support and our paid on-call rota for high impact incident response.

Required

Skills and Experience:

• Familiarity with AI platform concepts such as model routing, MCP servers, agentic workflows, RAG systems or LLM observability.
• Strong 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.
• Strong automation and scripting skills, for example Terraform, Go, Python or similar.
• Experience with incident management, problem management, demand forecasting, and production readiness practices.
• Good understanding of security fundamentals for production platforms, including identity, secrets, access control, network segmentation, vulnerability management and audit logging.

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.
• Solid understanding of Open AI tools, products and APIs.

In Return:
Joining Arm means being part of a world-class team that is high-reaching and determined to achieve…