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# AI Technical Innovation Lead

- **Company:** Arm Limited
- **Location:** Cambridge, UK
- **Experience:** Expert
- **Salary:** £112,100.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Application Frameworks, Automated Storage and Retrieval Systems, Cloud Engineering, Continuous Integration, Information Leak Prevention, Python (Programming Language), Open Source Technology, AI-enabled Products, Tensorflow, Software Deployment, Software Engineering, Reinforcement Learning, Enterprise Software Applications, Pytorch, LangChain, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, AI Coding Agents, Agentic-AI, Scikit Learn, Automation Anywhere, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=3d57b59300b31534

## About the Role

* Deep hands on expertise across AI, ML, GenAI, LLMs, RAG, reinforcement learning, agentic and multi-agent systems, and applied AI engineering.
 * Strong software and backend engineering capability, with experience architecting, building, testing, deploying, and scaling AI-enabled products, APIs, services, microservices, and enterprise solutions, grounded in solid system design, integration, data, CI/CD, observability, security, and cloud-native practices.
 * Strong Python skills and experience with frameworks such as PyTorch, TensorFlow, scikit-learn, LangChain, LangGraph, or similar.
 * Experience with LLM and agentic patterns, including retrieval, orchestration, tool use, evaluation, guardrails, and governed production deployment.
 * Solid understanding of AI architecture, cloud platforms, APIs, model-agnostic design, reusable frameworks, and scalable AI engineering practices.
 * Demonstrated ability to turn emerging research, whitepapers, open-source developments, and new tools into practical, high-value solutions, moving from concept to MVP and production while balancing speed, engineering quality, and business impact.
 * Solid grasp of responsible AI, privacy, governance, model security, risk management, vector databases, retrieval systems, and observability/evals.

"Nice To Have" Skills and Experience:

 * Effectively engaged in applied AI research, emerging technologies and open source ecosystems. Familiarity with robotics, edge AI applications beyond typical enterprise use cases.
 * Knowledgeable in AI for sustainability, including energy-efficient architectures and green compute!

## Description

* Bring deep expertise across AI, ML, GenAI, LLMs, RAG, agentic systems, and applied AI engineering to help shape practical, reusable AI capabilities at Arm.
 * Define and embed AI engineering standards for evaluation, observability, testing, governance, and operational readiness so solutions are reliable, secure, and ready for use.
 * Apply strong software engineering practices to architect, build, deploy, and scale end-to-end products, APIs, services, internal tools, and enterprise applications.
 * Design, build, test, and scale AI concepts, internal products, mini apps, and reusable enterprise solutions across AI workflows, API and MCP style integrations, AI coding assistants, and agentic use cases.
 * Contribute to Arm's emerging technical AI roadmap by assessing models, frameworks, whitepapers, open-source projects, and ecosystem shifts, including areas beyond standard enterprise AI.
 * Lead AI experimentation and incubation, testing new ideas and turning the most promising into proofs of value, MVPs, and production solutions with clear business outcomes.
 * Create and evolve reusable patterns, frameworks, and guardrails, working with teams across Arm to enable responsible innovation across Arm's engineering communities.
 * Identify and reduce risks such as hallucination, prompt injection, data leakage, bias, and unsafe tool use.
 * Collaborate closely with Engineering IT to develop agentic and AI solutions that improve the engineering experience and developer productivity., 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.