Staff AI Technology Specialist

Salary: £45,000 - 80,000 per year

Requirements:

• Strong software engineering skills, with the ability to build working prototypes, integrations and examples rather than only advise conceptually.
• Knowledge of the AI tooling and vendor landscape, paired with curiosity and discernment about the direction of the ecosystem.
• Strong practical experience working with Codex and OpenAI APIs.
• Good understanding of AI safety, governance, privacy, security, evaluation, observability and lifecycle concerns in an enterprise context.
• Experience collaborating with vendors, research teams, open-source communities, or enterprise AI governance groups.
• Familiarity with secure execution, sandboxing, workload isolation, data-loss prevention or policy-as-code approaches.
• Experience with platforms such as BricksLLM, LiteLLM, custom API gateways or equivalent gateway/routing layers.
• Hands-on experience with applied AI technologies such as LLMs, RAG, embeddings, vector databases, model orchestration, agents, MCP servers, tool-calling or AI evaluation frameworks.

Responsibilities:

• Learn how our engineers currently apply AI, support their current usage, anticipate future needs, and use industry knowledge to help build our AI Platform.
• Participate in production support and our paid on-call rota for high impact incident response.
• Stay informed about the AI industry landscape, including models, agents, MCP, retrieval, evaluation, coding assistants, workflow automation, AI safety tooling, and vendor offerings.
• Gain comprehensive insight into how our engineers apply AI today and identify where safe, secure, and scalable AI will be needed across software, hardware, platform, and engineering workflows.
• Translate emerging technology trends and engineering use cases into practical recommendations for AI Platform capabilities, roadmap priorities and adoption patterns.
• Explore safe and secure patterns for the use of core AI technologies, including skills, agents, RAG pipelines, MCP gateways, workload isolation, secrets management, LLM gateways and more.
• Evaluate, prototype and implement technology solutions that provide controls, guardrails and observability for safe AI use while maintaining a first-class engineering experience.
• Develop demos, examples, and reference implementations showing how emerging AI features can be activated via our AI Platform.
• Own and evolve our OpenAI toolset for Engineering, including Codex, ChatGPT, OpenAI APIs and an AI Gateway, ensuring these services are safe, supportable and deliver a great engineering experience.
• Track Codex, ChatGPT and OpenAI API releases, assess relevance and lead safe adoption of new capabilities.
• Own custom tooling, automation, integrations and secure configuration for the AI Gateway and OpenAI services.
• Support engineering users through guidance, advice, documentation, demos and enablement sessions.

Technologies:

• AI
• API
• ARM
• ChatGPT
• Hardware
• Support
• LLM
• MCP
• RAG
• Security

More:

We are developing a central AI Platform to enable the safe, scalable, and efficient use of AI across our engineering teams, and we are looking for an engineer to join us. This role combines user enablement and hands-on engineering for someone deeply engaged with AI technology. You will help shape how our engineers use AI today and in the future, while working alongside a collaborative, low-ego but high-performing team of highly capable and technical peers. We offer room to grow technically, an interesting and challenging role, and the opportunity to improve the lives of thousands of engineers across Arm. We also support hybrid working, with team-specific patterns determined by our teams, and we are committed to equal opportunities and reasonable recruitment accommodations.

last updated 36 week of 2026