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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Staff AI Technology Specialist - **Company:** Arm Limited - **Location:** Cambridge, UK - **Salary:** £97,300.0 - £131,700.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Key Management, Open Source Technology, Software Safety, Software Engineering, Systems Integration, Policy as Code, Large Language Models, AI Platforms, Api Design, Api Gateway, GPT - **Published:** August 25, 2026 - **Apply:** https://www.totaljobs.com/job/ai-specialist/arm-job107892133 ## About the Role * 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. 'Nice to Have' Skills and Experience: * 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! ## Description You will initially contribute in three key areas: 1. Understanding AI use cases and emerging technology: * Stay informed about the AI industry landscape, encompassing areas such as models, agents, MCP, retrieval, evaluation, coding assistants, workflow automation, AI safety tooling, and vendor offerings. * Gain comprehensive insight into the ways Arm engineers apply AI today. 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. 2. Evaluation, prototyping and demonstration: * Explore safe and secure patterns for the usage 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 the controls, guardrails and observability needed for Arm engineers to use AI safely whilst ensuring a first class engineering experience. * Develop demos, examples, and reference implementations illustrating how emerging AI features can be activated via our AI Platform. 3. OpenAI toolset ownership and Engineering enablement: Own and evolve Arm's OpenAI toolset for Engineering, including Codex, ChatGPT, OpenAI APIs and an AI Gateway, ensuring these services are safe, supportable and have a great engineering experience. * Track Codex, ChatGPT and OpenAI API releases, assessing relevance and leading 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. ## Related Videos - [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension) - [API Design - Getting Started](https://www.wearedevelopers.com/videos/33-api-design-getting-started) - [20 billion requests a week: Upgrading Twilio's API gateway at scale](https://www.wearedevelopers.com/videos/100234-20-billion-requests-a-week-upgrading-twilio-s-api-gateway-at-scale) - [One AI API to Power Them All](https://www.wearedevelopers.com/videos/1601-one-ai-api-to-power-them-all) - [Streaming AI Responses in Real-Time with SSE in Next.js & NestJS](https://www.wearedevelopers.com/videos/1630-streaming-ai-responses-in-real-time-with-sse-in-next-js-nestjs) - [AI-Enabled Organisations: From Strategy to Practice](https://www.wearedevelopers.com/videos/100171-ai-enabled-organisations-from-strategy-to-practice) ## Related Articles - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Dev Digest 137 - AI'm not sure about this](https://www.wearedevelopers.com/magazine/485-dev-digest-137-ai-m-not-sure-about-this)