Staff AI Technology Specialist

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.

• 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!

At Arm, collaboration drives progress. Our culture blends individual ownership with strong team alignment, where skilled people thrive in a fast-paced, supportive environment. Across our ecosystem, we value bold thinking and pushing boundaries because when teams are empowered and passionate, they deliver at scale. Read more

• Diversity, Equity & Inclusion This is Collective Progress Arm drives progress by enabling bold ideas to emerge from a diverse, skilled, and inclusive workforce. We challenge convention and move fast, supported by active participation in ERGs, employee communities, DEI working groups, and the DEI Council, each built to fuel momentum and remove barriers. Read more

• Benefits at Arm Benefits Designed for You Arm moves fast because our people do. That’s why we offer high-impact benefits tailored to support those driving the future of computing, benefits that reflect and reward the ambition, skill, and energy of extraordinary teams solving complex challenges. Read more

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At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email . To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

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.