Intelligent Automation Engineer

Role Title: Intelligent Automation Engineer

Location: Liverpool, Glasgow or London Permanent Hybrid

In this role you will design, build and run AI powered automations that improve speed, quality and colleague experience. You will engineer copilots, agents and AI first workflows on Microsoft platforms, grounded in enterprise data and delivered with strong controls. You'll still use classic automation where it fits, but your default mindset is AI then automate-leveraging Copilot Studio, Azure OpenAI, and Power Platform to solve real business problems end to end.

This is an opportunity to put your Intelligent Automation experience into practice in a meaningful way by shaping solutions that deliver real value to the business.

You'll play a key role in developing the team and maturing our automation capability, helping to set direction, embed best practice and raise standards across the organisation.

This is an exciting opportunity to make a visible impact while being part of a growing, forward thinking environment.

• AI & Agent engineering - Build secure, reliable copilots/agents in Copilot Studio (topics, actions, plugins, triggers), orchestrating tasks, decisions and integrations across M365 and line of business systems.
• Generative workflows - Design RAG grounded workflows using Azure OpenAI with Graph/data connectors; optimise prompts, grounding, safety and evaluation.
• Power Platform delivery - Implement Power Automate (cloud/desktop) flows and Power Apps where appropriate; create reusable connectors/components; apply DLP policies.
• Systems integration - Integrate with APIs (REST/JSON), SharePoint/Teams/Outlook, CRM, data platforms and event triggers; handle identity, permissions and audit.
• Quality, reliability & support - Write testable solutions, instrument for telemetry, monitor for drift, and iterate based on usage data and user feedback.
• Governance & risk - Apply security by design, data protection, DPIA/model risk and access controls; maintain documentation, versioning and runbooks.
• Process design - Partner with SMEs to map AS IS/TO BE, prioritise opportunities, and choose the right tool (agent, gen AI, workflow, RPA) for the job.
• Continuous improvement - Track emerging features, evolve patterns/playbooks, and mentor colleagues through show and tell sessions and code reviews.

If you meet some of these criteria and are excited about the role, we encourage you to apply.

• Hands on delivery of AI agents/copilots and Power Platform and RPA solutions in production.
• Experience integrating enterprise systems and handling data/identity controls.
• Proven ability to turn ambiguous business needs into working AI agents and automations.
• Strong problem solving, pragmatic delivery, and comfort with rapid iteration.
• Clear communicator who can explain trade offs and make defensible technical choices.
• Disciplined engineering habits: testing, observability, documentation, and secure coding.

• Copilot Studio - topics, actions, plugins, Power Automate triggers, knowledge sources; lifecycle, environments and ALM.
• Azure OpenAI / Generative AI - prompt design, grounding/RAG, content filters, safety patterns, evaluation/metrics.
• Microsoft 365 & Graph - SharePoint, Teams, Outlook; Graph APIs/connectors; permissions & governance.
• Power Platform - Power Automate (cloud/desktop), Power Apps (canvas/model driven desirable), DLP, custom connectors.
• Integration - REST/JSON, webhooks, OAuth/Entra ID, basic SQL; event driven patterns; error/exception strategies.
• Dev fundamentals - Git/Azure DevOps, CI/CD, environment strategy, secure secrets management.

• Azure AI Foundry (AI Studio) - Prompt Flow orchestration, evaluation flows, model catalog deployments, vector search/RAG pipelines, safety configuration, monitoring and AI project lifecycle management.
• RPA experience (e.g., Blue Prism) for legacy/desktop use cases; UiPath/Automation Anywhere exposure a plus.
• Scripting - PowerShell and/or Python for utilities, data prep and connectors.
• Power BI for light analytics/telemetry visualisation.
• Test automation (unit, integration, contract tests) and chaos/latency testing for agents.
• Basic front end skills for internal tools (e.g., Fluent UI, React - nice to have).