AI & Automation Engineer

Who we are

Sumitomo Mitsui Finance Dublin Limited (SMFD) is a wholly owned subsidiary of SMBC and is growing rapidly as a Centre of Excellence for the bank’s universal banking business across EMEA. It provides a range of technology and operational support services, aligned to SMBC’s growth, innovation, and transformation strategies. cool, thank you. will do

Role Overview

We are seeking an experienced AI & Automation Engineer at Vice President level to lead the engineering, operation and evolution of enterprise automation capability across Tungsten Automation, UiPath and Microsoft Power Platform. The role combines senior hands-on development with platform ownership, technical leadership and disciplined delivery in a regulated financial-services environment.

The successful candidate will design and implement resilient automation solutions with embedded AI capabilities, including intelligent document processing, knowledge discovery and content generation. They will own solutions through the full lifecycle, from discovery and architecture through build, release, support, optimisation and control assurance.

The anticipated salary range for this role is €72,000.00 – €134,000.00, with the final offer determined based on the candidate’s skills, experience, role scope, location, and relevant market factors. In addition to base salary, the role may be eligible for a discretionary incentive award and a competitive benefits package, including core benefits such as pension provision.

Key Accountabilities & Responsibilities

Automation engineering and solution delivery

• Design, build, test and deploy enterprise-grade automations using Tungsten Automation, UiPath and Microsoft Power Platform.

• Translate business processes and control requirements into secure, maintainable and supportable technical solutions.

• Provide senior developer expertise across workflow automation, robotic process automation, low-code solutions, APIs and system integration.

• Establish reusable components, patterns and engineering standards that improve quality, speed and consistency of delivery.

AI-enabled automation

• Embed AI capabilities into automation workflows for document classification, extraction and validation; enterprise knowledge discovery; summarisation; and controlled content generation.

• Design and implement agentic orchestration and multi-agent solutions, including agent coordination, task decomposition, tool use, shared context and hand-offs.

• Design human-in-the-loop controls, confidence thresholds, exception handling and validation steps appropriate to business risk.

• Integrate approved AI services, enterprise data sources and automation platforms through secure APIs and connectors.