Automation Engineer

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Job Category:
Technical Specialist / Manager

Location:

London, GB, EC2V 7QN
Glasgow, GB, G2 1EH
Liverpool, GB, L3 1NW

Date: 8 Sept 2026

Division: Technology

Location: Glasgow, Liverpool, London

Reports to: Automation Product Owner

Working Pattern: Hybrid

Design, build, and operate intelligent automation, AI-enabled, document processing, workflow, and data solutions that transform how the organisation processes information, reviews complex records, and delivers operational outcomes. Combining artificial intelligence, data engineering, intelligent document processing, workflow automation, and analytics, you will develop scalable solutions that improve quality, speed, efficiency, and decision-making across business processes whilst maintaining robust governance, traceability, auditability, and regulatory controls.

The Intelligent Automation Engineer will deliver AI-enabled workflows, digital assistants, intelligent review solutions, and data-driven automation capabilities grounded in enterprise information. Working across structured and unstructured data sources, you will automate document-centric processes, extract actionable insights, support remediation and review activities, and enable colleagues to manage high-volume casework more effectively and consistently.

A key focus of the role will be supporting complex review, remediation, and transformation programmes through the extraction, analysis, and interpretation of data across large client populations. This includes developing solutions to identify and analyse cohorts, review client and portfolio data, monitor process outcomes, generate management information, and provide comprehensive audit trails that support business, regulatory, and operational requirements.

The role offers a unique opportunity to contribute to a major multi-year transformation programme through to early 2028, delivering innovative AI, automation, workflow, document processing, and data solutions that support large-scale review, remediation, and operational change activities. During this period, you will play a key role in shaping and delivering technology capabilities that improve how the organisation manages complex data, information, and client review processes.

Following the transformation programme, the role will transition into a long-term position within the Intelligent Automation team, taking ownership of enterprise automation, AI, workflow, and data platforms. You will be responsible for driving continuous improvement, supporting operational excellence, maintaining strong governance and platform stability, and helping shape the future automation and AI strategy of the organisation. This provides a unique blend of transformational programme delivery and sustainable platform ownership, offering both immediate business impact and long-term career development within a growing Intelligent Automation capability.

• AI & Intelligent Automation Engineering - Design and deliver secure, reliable AI-enabled solutions, digital assistants and intelligent workflows that orchestrate tasks, decisions and integrations across enterprise systems.
• Generative AI & Knowledge Solutions - Develop AI-powered solutions that leverage organisational knowledge and enterprise data to provide summarisation, question answering, insight generation and decision support capabilities whilst maintaining appropriate governance and controls.
• Intelligent Document Processing - Design and implement solutions that extract, classify and structure information from unstructured and semi-structured content, including documents, forms, correspondence, reports and records. Utilise OCR and document processing technologies to reduce manual effort and improve consistency.
• AI-Assisted Review, Remediation & Analysis - Develop AI-powered workflows supporting large-scale review, remediation, validation and quality assurance activities. Combine structured data, business rules and AI techniques to identify exceptions, surface insights, summarise findings and support decision-making through appropriate human oversight.
• Identification & Management Information - Design solutions that analyse large datasets to identify review populations, client cohorts and operational trends. Develop repeatable processes to extract, calculate and report key management information.
• Data Engineering & Transformation - Build data pipelines that collect, cleanse, enrich and transform information from multiple sources. Ensure data quality, traceability and accessibility for automation, AI and analytical solutions.
• Workflow & Case Management - Design end-to-end workflows that combine automated processing, business rules, human review, approvals, exceptions and operational controls.
• Systems Integration - Integrate automation and AI solutions with internal and third-party systems through APIs, data services, event-based patterns and secure data exchange mechanisms.
• Quality, Reliability &…