Principal AI Engineer

Principal AI & Data EngineerRemote - Australia - (Sydney office)$190-230k basePermanentThe Role

We’re partnering with a high-growth technology consultancy building a next-generation Data & AI capability across enterprise and public sector clients.

This is a senior, client-facing role suited to someone who combines deep technical expertise with the ability to engage and influence senior stakeholders.

The Opportunity

You’ll play a key role in designing and delivering modern data platforms and AI-driven solutions that create tangible business impact.

Working across a variety of client environments, you’ll lead solution design, guide delivery teams, and act as a trusted advisor to senior decision-makers.

This is also an opportunity to help shape and grow a Data & AI practice, contributing to capability development, standards, and go-to-market initiatives.

What You’ll Be Doing

• Designing and delivering scalable data and AI solutions in production environments
• Leading architecture across modern data platforms and cloud ecosystems
• Working directly with senior stakeholders to define strategy and translate business needs into technical solutions
• Driving best practices across data engineering, MLOps, and AI delivery
• Mentoring engineers and contributing to capability uplift across the team

What We’re Looking For

• Strong experience delivering enterprise-grade data platforms and/or AI solutions
• Hands-on expertise with Python, SQL, and distributed data processing tools (e.g. Spark)
• Experience working with modern data platforms (e.g. Databricks, Snowflake, BigQuery, or similar)
• Cloud experience across AWS, Azure, or GCP
• Proven ability to engage with senior stakeholders and communicate complex ideas clearly
• A consulting mindset with experience working in client-facing environments

Nice to Have

• Experience with MLOps or production machine learning systems
• Exposure to real-world AI applications, including emerging tooling and workflows
• Background working in consulting or advisory environments