AI & Automation
Mid-Level AI Automation Engineer - Oceania
Own AI workflow automation and orchestration outcomes for Oceania markets by translating demand signals into measurable pipeline and revenue impact.
Role Overview
Position scope, strategic mission, and operating context.
Role Mission
Drive reliable execution in AI workflow automation and orchestration with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication.
Business Context
You 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 Snapshot
Department: AI & Automation
Employment Type: Full Time
Work Model: Hybrid
Primary Location: Sydney (Hybrid) with Oceania collaboration
Core Responsibilities
Own 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 Qualifications
Required Experience
3-5 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 Qualifications
Experience 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 Process
Structured 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 (New South Wales)
🏢 Orix Digi
📍 New South Wales