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