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# Consultant - Data Process & Automation Engineer

- **Company:** Agentic Ai
- **Location:** London, UK
- **Experience:** Experienced
- **Salary:** £60,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Information Systems, Robotic Automation Software, Enterprise Software Applications, Microsoft Power Automate, Uipath, Information Technology, Low-code, Virtual Agents, Api Design
- **Published:** September 13, 2026
- **Apply:** https://www.reed.co.uk/jobs/consultant-data-process-automation-engineer/57339232

## About the Role

* At least three years' experience in a client-facing or consulting environment.
 * Experience analysing and improving end-to-end business processes.
 * Practical knowledge of workflow automation, low-code platforms or RPA.
 * Experience with automation tools such as UiPath or Celonis.
 * Strong stakeholder-management and workshop-facilitation skills.
 * Ability to translate business requirements into practical automation solutions.
 * Understanding of automation governance, controls and risk management.
 * Strong written and verbal communication skills.

Desirable experience

 * Microsoft Copilot Studio, Power Automate or Azure AI.
 * Agentic AI or AI-enabled workflow automation.
 * API-based integrations and workflow orchestration.
 * Enterprise system connectivity.
 * Human-in-the-loop workflow design.
 * Responsible AI and model-governance frameworks.
 * A degree in computer science, data science, information systems or a related discipline.

This is an excellent opportunity to work at the intersection of process improvement, data, automation and AI while helping major organisations develop more efficient and scalable operations.

## Description

You will work directly with clients to analyse business processes, identify opportunities for improvement and build scalable automation solutions using low-code, RPA and AI-enabled technologies., * Analyse end-to-end business processes and identify root causes of inefficiency and variation.

 * Assess and prioritise suitable process-automation opportunities.
 * Design future-state processes that balance efficiency, user experience and risk.
 * Build workflow solutions using low-code, RPA and AI-enabled technologies.
 * Support the testing, deployment and operational handover of automation solutions.
 * Assess when Agentic AI offers genuine value beyond traditional automation.
 * Design human-in-the-loop workflows with appropriate controls and escalation routes.
 * Evaluate AI use cases based on feasibility, value, risk and operational readiness.
 * Help clients establish controls for model monitoring, compliance, auditability and responsible AI.
 * Define KPIs and success measures for process improvements.
 * Support benefits realisation and continuous optimisation following deployment.
 * Facilitate workshops with business, operational and technology stakeholders.
 * Contribute to proposals, client presentations and thought-leadership activities.


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