Duties & ResponsibilitiesSolution Architecture & Engineering
Translate prioritised automation opportunities into robust technical designs - mapping exception paths, defining data flows, and designing for reliability before building.
Design, build, and deploy automation using AI engineering tools (Claude Code and other agentic coding assistants, MCP, LLMs) with Python and supporting frameworks (e.g. Playwright).
Develop custom automation agents, scripts, and integrations that automate data extraction, transformation, reconciliation, document generation, and system-to-system handoffs.
Build and maintain MCP servers / connectors that expose internal data and tools to AI workflows in line with IT security standards.
Systems Integration & Reliability
Architect end-to-end workflows that bridge disparate systems (ERP/finance, internal databases, spreadsheets, messaging and reporting platforms) while ensuring data integrity.
Build integrations that connect siloed systems, progressively reducing duplicated and manually reconciled data across departments.
Implement validation, logging, error-handling, and monitoring so automations run reliably with minimal manual intervention.
Governance & Documentation
Build within IT's governance framework - using managed credentials, access controls, and peer code review to established IT security standards - so automations are safe to run against production finance and operational systems, in line with data-protection requirements (PDPA).
Author technical documentation - logic maps, API configurations, and runbooks - for long-term maintainability and easy troubleshooting.
Delivery, Enablement & Collaboration
Partner with the process analyst and process owners - who own frontline discovery and engagement - to convert validated opportunities into deployed solutions.
Create intuitive SOPs and training materials, and coach non-technical staff to support sustained adoption of deployed automations.
Deliver quick wins that visibly relieve user workload.
Value Measurement
Instrument every automation with before/after effort baselines to build a defensible record of time saved.
Report on time savings, efficiency, error reduction, and reliability of deployed automations.
Job RequirementsEducation: Diploma/Degree in Computer Science, Engineering, or a related field (or equivalent practical experience).
Technical Skills: Python web automation (Playwright/Selenium) data processing and scripting version control (Git) and automated testing of deployed automations APIs and systems integration (ERP/finance platforms, databases). AI-first automation - agentic coding tools (e.g. Claude Code, Cowork), MCP, applied LLM workflows and prompt design. Familiarity with traditional RPA (UiPath, Power Automate, VBA, pywinauto) is an advantage for legacy / no-API systems.
Domain Knowledge: Strong understanding of back-end business processes - finance, accounting, reporting, or operations - enabling the engineer to bridge technical and business needs.
Soft Skills: Clear technical documentation and SOP writing ability to coach non-technical users strong problem-solving able to work independently and across functions.
Experience: Demonstrated experience designing and deploying business process automation (RPA and/or scripted) in a corporate environment.
