Intelligent Automation Engineer Hybrid: 2 days per week in the office (London) Permanent Paying up to £95,000 bonus Experis are partnering with a leading organisation undergoing a significant digital and AI transformation. As part of this journey, they are investing in building out their Intelligent Automation capability, with a strong focus on AI-powered workflows, copilots and enterprise automation. This is a hands-on role where youll design, build and deploy AI-driven automations that improve efficiency, decision-making and user experience across the business. Youll work at the intersection of AI, automation and enterprise systems, helping to move the organisation towards an AI-first approach to solving business problems. What Youll Be Doing Designing and building AI-powered copilots and agents to automate business processes end-to-end Developing Generative AI workflows using Azure OpenAI and Retrieval-Augmented Generation (RAG) Building and deploying automation solutions using Power Automate and Power Apps Integrating AI solutions with enterprise systems (CRM, M365, APIs, data platforms) Ensuring solutions are secure, scalable and aligned with governance and compliance standards Monitoring, testing and continuously improving automation solutions based on usage and feedback Collaborating with business stakeholders to identify high-value automation opportunities Contributing to best practices, standards and the overall maturity of the automation capability Experience Required Proven experience building automation solutions using Power Platform and/or RPA tools Hands-on experience developing AI agents, copilots or Generative AI solutions Strong understanding of Azure services, particularly Azure OpenAI Experience integrating systems via APIs and working with enterprise data Solid understanding of security, governance and data protection principles Ability to translate business requirements into scalable technical solutions Strong communication skills and experience working with stakeholders Desirable Experience with RAG pipelines and LLM-based solutions Exposure to Microsoft Copilot Studio Experience with Databricks, SQL or Python Knowledge of CI/CD and DevOps practices Background working in regulated environments