AI Engineering Lead in Melbourne

AI Engineering Lead in Melbourne

Melbourne Full-Time 56813 - 69438 $ / year (est.) Hybrid
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At a Glance

  • Tasks: Lead the design and development of innovative AI solutions that drive business success.
  • Company: Join McMillan Shakespeare, a leader in AI technology and innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on governance and security in AI.
  • Why this job: Make a real impact by creating cutting-edge AI products and intelligent workflows.
  • Qualifications: Experience in software engineering, machine learning, and AI technologies required.

The predicted salary is between 56813 - 69438 $ per year.

McMillan Shakespeare is seeking an AI Engineering Lead to design, develop, deploy and support secure, scalable AI solutions that deliver measurable business value. The role blends software engineering, machine learning, generative AI and automation to build AI products, copilots, agents and intelligent workflows.

You will translate priority opportunities into production‑ready solutions and partner with Data Engineering, Cyber Security, Privacy and AI Governance to ensure governance across the AI.

AI Engineering Lead in Melbourne employer: McMillan Shakespeare

At MMS, we pride ourselves on being an employer that truly values its people and their contributions. Our supportive work culture fosters personal and professional growth, offering comprehensive learning opportunities and a commitment to employee wellbeing through initiatives like the Sonder digital platform and generous parental leave. Located in a vibrant community, we embrace diversity and inclusivity, ensuring that every team member feels valued and empowered to make a meaningful impact in their role as a Collections Consultant.

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Contact Details:

McMillan Shakespeare Recruitment Team

We think you need these skills to ace AI Engineering Lead in Melbourne

Software Engineering
Machine Learning
Generative AI
Cloud-Native Development
Automation
AI Product Development
Data Engineering Collaboration