intelligent Automation Engineer

Intelligent Automation Engineer

Find out more about the daily tasks, overall responsibilities, and required experience for this opportunity by scrolling down now.
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 xwzovoh 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