What makes this talent different from traditional IT hires
Morgan McKinley's 2026 Hong Kong salary guide points to steady contract hiring for multi-skilled professionals supporting automation initiatives, ERP upgrades and finance restructuring, alongside a broader shift toward automation-literate operational staff.
Gartner projects that by 2026, 80 per cent of people using low-code automation tools will not be IT professionals — meaning Operations, Finance and HR staff are increasingly building and owning their own workflows rather than waiting on a central IT backlog.
New job titles reflect the shift: AI Automation Engineer, Workflow Automation Engineer, AI Agent Developer and Forward Deployed Engineer are appearing on Hong Kong job boards, sitting alongside — not replacing — traditional software and process roles.
Our perspective
This is a genuinely new hiring category, not a rebrand of existing IT roles. Employers who keep routing every automation need through a stretched central IT team risk losing ground to competitors who have given Operations and Finance their own automation capability.
Our advice to HR partners
When scoping these roles, resist writing a generic 'automation engineer' job description borrowed from IT. Be specific about which processes need automating, which tools your organisation has standardised on, and whether the role sits in Operations, Finance or a central digital team — vague scope is the fastest way to attract the wrong candidates.
Who is actually hiring for this
Demand is not confined to technology companies. Telecom, financial services, manufacturing and professional services firms are building small internal automation functions to redesign processes (BPMN mapping, RACI reviews, ASIS-to-TOBE workflow redesign), often reporting into Operations or Business Transformation rather than IT.
The strongest candidates combine three things employers rarely find together: practical low-code/no-code tool fluency, enough process-mapping discipline to document a workflow properly, and enough business context to know which manual steps are worth automating first. Pure coding ability without process understanding, or process knowledge without any tool fluency, both fall short of what employers are now asking for.
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