Job Description

AI & Automation n

Mid-Level AI Automation Engineer - Oceania

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Own AI workflow automation and orchestration outcomes for Oceania markets by translating demand signals into measurable pipeline and revenue impact.

Role Overview n

Position scope, strategic mission, and operating context.

Role Mission n

Drive reliable execution in AI workflow automation and orchestration with clear KPI governance, weekly optimization cycles, and high-quality stakeholder communication.

Business Context n

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- You will work with cross-functional squads supporting campaigns and delivery systems across Oceania markets.
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- This role contributes to our region-country-city operating model and reinforces commercial accountability.
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- You will partner with strategy, delivery, and analytics leads to improve execution quality and speed.
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Role Snapshot nn
- Department: AI & Automation
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- Employment Type: Full Time
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- Work Model: Hybrid
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- Primary Location: Sydney (Hybrid) with Oceania collaboration
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Core Responsibilities nn
- Own end-to-end delivery for AI Automation Engineer initiatives, from planning through execution and optimization.
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- Translate business goals into KPI trees, sprint priorities, and measurable weekly actions.
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- Run structured experiments and document performance learnings for scaling decisions.
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- Collaborate with adjacent teams to align creative, technical, and operational dependencies.
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- Maintain QA discipline, reporting clarity,



and leadership-ready status updates.
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Requirements and Qualifications Required Experience nn
- 3-5 years of experience in AI workflow automation and orchestration.
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- Hands-on capability with OpenAI, n8n, API integrations.
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- Strong communication and stakeholder management in cross-functional environments.
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- Data-informed decision making with comfort in KPI and performance analysis.
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- Demonstrated ownership mindset with the ability to execute against deadlines.
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Preferred Qualifications nn
- Experience working across multi-country or multi-region delivery environments.
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- Track record improving conversion quality, efficiency, or operational reliability.
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- Confidence in SOP documentation and process governance.
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Hiring Process n

Structured selection focused on capability, execution quality, and team fit.

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1. Step 1: Application Review. Capability evidence and role fit are assessed against clear decision criteria.
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2. Step 2: Role and Experience Screening. Capability evidence and role fit are assessed against clear decision criteria.
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3. Step 3: Practical Assessment. Capability evidence and role fit are assessed against clear decision criteria.
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4. Step 4: Leadership Interview. Capability evidence and role fit are assessed against explicit decision criteria.
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5. 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