AI Solutions Engineer: Digital Twins & Automation

Dematic; Sydney; On-site; AUD 120,000 - 160,000; Full time

Benefits offered by this job

Career development

Global opportunities

Salary packaging

Corporate discounts

Paid parental leave

Employee referral programme

Fitness Passport

Medibank health cover

Job summary

Dematic Pty Ltd is seeking an AI Solutions Engineer in Sydney to lead AI-enabled solutions across APAC, translating business needs into scalable technology. You will work with stakeholders, AI champions, and technology teams to deliver practical AI deployments and digital twin initiatives.

The role emphasizes hands-on development, knowledge sharing, and cross-functional collaboration within a global logistics tech leader. Experience in AI, Python, and DevOps practices is essential.

Qualifications

• Experience delivering AI or digital transformation initiatives.
• Ability translating business requirements into practical technical solutions.
• Proficiency with Python, SQL and APIs in real-world apps.
• Experience with AI platforms and enterprise AI tools.
• Background in logistics, warehouse automation or industrial tech.
• Familiarity with simulation, digital twins or virtual commissioning.

Responsibilities

• Develop high-quality AI solutions and contribute to digital twin development.
• Drive AI adoption and share learnings across APAC.
• Serve as central hub for AI knowledge, tools, and processes.
• Lead development and coordination of AI agents across sub-projects.

Skills

AI development

Stakeholder engagement

Problem solving

Technical curiosity

Business requirements

Logistics domain

Industrial tech

APIs

Python

SQL

CI/CD

DevOps practices

Education

Bachelor's degree in Engineering or CS

Tools

GitHub Copilot

Claude Code

Cursor

Microsoft Copilot Studio

Azure AI services

Power Platform

Job description

Dematic Pty Ltd is seeking an AI Solutions Engineer in Sydney to lead AI-enabled solutions across APAC, translating business needs into scalable technology. You will work with stakeholders, AI champions, and technology teams to deliver practical AI deployments and digital twin initiatives.

The role emphasizes hands-on development, knowledge sharing, and cross-functional collaboration within a global logistics tech leader. Experience in AI, Python, and DevOps practices is essential.