AI & AutomationMid-Level AI Automation Engineer - OceaniaOwn AI workflow automation and orchestration outcomes for Oceania markets by translating demand signals into measurable pipeline and revenue impact.Role OverviewPosition scope, strategic mission, and operating context.Role MissionDrive reliable execution in AI workflow automation and orchestration with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication.Business ContextYou will work with cross-functional squads supporting campaigns and delivery systems across Oceania markets.This role contributes to our region-country-city operating model and reinforces commercial accountability.You will partner with strategy, delivery, and analytics leads to improve execution quality and speed.Role SnapshotDepartment: AI & AutomationEmployment Type: Full TimeWork Model: HybridPrimary Location: Sydney (Hybrid) with Oceania collaborationCore ResponsibilitiesOwn end-to-end delivery for AI Automation Engineer initiatives, from planning through execution and optimization.Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.Run structured experiments and document performance learnings for scaling decisions.Collaborate with adjacent teams to align creative, technical, and operational dependencies.Maintain QA discipline, reporting clarity,



and leadership-ready status updates.Requirements and QualificationsRequired Experience3-5 years of experience in AI workflow automation and orchestration.Hands-on capability with OpenAI, n8n, API integrations.Strong communication and stakeholder management in cross-functional environments.Data-informed decision making with comfort in KPI and performance analysis.Demonstrated ownership mindset with the ability to execute against deadlines.Preferred QualificationsExperience working across multi-country or multi-region delivery environments.Track record improving conversion quality, efficiency, or operational reliability.Confidence in SOP documentation and process governance.Hiring ProcessStructured selection focused on capability, execution quality, and team fit.Step 1: Application Review.
Capability evidence and role fit are assessed against clear decision criteria.Step 2: Role and Experience Screening.
Capability evidence and role fit are assessed against transparent decision criteria.Step 3: Practical Assessment.
Capability evidence and role fit are assessed against clear decision criteria.Step 4: Leadership Interview.
Capability evidence and role fit are assessed against clear decision criteria.Step 5: Offer and Onboarding.
Capability evidence and role fit are assessed against clear decision criteria.
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📌 Mid-Level Ai Automation Engineer - Oceania (Sydney)
🏢 Orix Digi
📍 Sydney