Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Confirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
Staff AI & Data Engineer
ICT
Company shared salary
NA
Market rate
A$10,833–A$15,000/mo (A$129,996–A$180,000/yr)
Based on similar roles (title + domain + location).
About the Company
AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the region's digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the world's most transformational companies. And we're doing so sustainably, for today and tomorrow. Having opened Australia's first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APME region.
Responsibilities
- ● Lead the design, build, and evolution of the intelligent data and AI systems that power our next-generation platforms.
- ● Operate at the intersection of data engineering, AI engineering, platform architecture, and DevOps, shaping scalable, secure, and production-grade solutions that drive operational efficiency, sustainability, and intelligent decision-making across our data centre and business ecosystem.
- ● Help define the technical direction, engineering standards, and platform patterns that underpin AirTrunk's AI and Data Platform.
- ● Mentor others and drive delivery across complex, cross-functional initiatives.
- ● Lead the design and delivery of scalable AI and ML solutions that enhance AirTrunk's operations, from predictive maintenance and optimisation to intelligent automation and decision support.
- ● Architect and guide the development of agentic AI systems, including multi-agent patterns, retrieval-augmented generation (RAG), and Model Context Protocol (MCP) implementations that enable adaptive, enterprise-ready solutions.
- ● Drive the integration of LLM and generative AI technologies into enterprise platforms, workflows, and data products using tools such as Databricks, OpenAI, Anthropic, and LangChain.
- ● Establish reusable patterns, guardrails, and engineering standards for AI applications to ensure reliability, security, scalability, and maintainability.
⚡ Full Resume Sandbox Canvas