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 you''ll design, build and deploy AI-driven automations that improve efficiency, decision-making and user experience across the business.

You''ll 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 You''ll 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