Mid-Level AI Automation Engineer - Oceania

Orix Digi; Sydney; Hybrid; AUD 120,000 - 160,000; Full time

Job summary

Orix Digi in Sydney, Australia, seeks a Mid-Level AI Automation Engineer to own AI workflow automation initiatives across Oceania in a hybrid work model.

The role requires 3–5 years of hands-on AI automation with OpenAI, n8n, and API integrations, plus strong cross-functional communication and KPI-focused decision making. You will drive end-to-end delivery and ensure high-quality stakeholder updates.

Qualifications

• 3–5 years of experience in AI workflow automation and orchestration.
• Hands-on capability with OpenAI, n8n, and API integrations.
• Strong communication and stakeholder management in cross-functional environments.
• Data-informed decision making with KPI and performance analysis.
• Demonstrated ownership mindset with the ability to execute against deadlines.

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.

Skills

AI workflow automation

OpenAI

n8n

API integrations

Stakeholder management

KPI analysis

Ownership mindset

Communication

Tools

OpenAI

n8n

APIs

Job description

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.

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