Sr. Associate AI and Data Engineer

Senior AI and Data Engineer

Want to be a part of Asia Pacific & Japans (APJ) largest most innovative and rapidly growing data centre company

AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the regions digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the worlds most transformational companies. And were doing so sustainably for today and tomorrow.

Having opened Australias 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 APJ region. With backing from our investors including Blackstone this is just the beginning

Come join the A-Team at AirTrunk where the cloud meets the ground.

A Snapshot

As a Senior AI and Data Engineer at AirTrunk you will help design build and operate the intelligent data and AI systems that power our next-generation data and AI platforms. Youll work at the intersection of data engineering AI engineering DevOps and agentic automation developing and deploying robust solutions that drive operational efficiency sustainability and intelligent decision-making across our data centre and business ecosystem. This role is ideal for an engineer who thrives in a full-stack DevOps-oriented environment and is passionate about shaping production-grade AI systems and modern data foundations that directly enable smarter faster and more efficient business outcomes. You will help build both the data platform capabilities and intelligent applications that underpin AirTrunks AI and Data Platform.

Your Day to Day

AI Engineering & Architecture

• Design develop and deploy scalable AI and ML solutions that enhance AirTrunks operations from energy optimisation and predictive maintenance to intelligent automation.
• Engineer agentic AI systems including multi-agent architectures retrieval-augmented generation (RAG) and Model Context Protocols (MCPs) that enable adaptive autonomous solutions.
• Integrate emerging LLM and generative AI technologies (e.g. Databricks OpenAI Anthropic LangChain) into enterprise systems and data platforms.
• Champion design standards and reusable patterns for AI components tooling and frameworks that ensure reliability scalability and security.

Data Engineering & Platform Foundations

• Design build and optimise robust batch and streaming data pipelines that support analytics operational workloads and AI use cases.
• Develop and maintain curated high-quality data models and datasets that enable trusted reporting data products and AI solutions.
• Collaborate closely with platform engineers and data teams to integrate AI services into the broader AI & Data Platform ecosystem (Databricks dbt Kafka Azure Event Hubs / Event Grid).
• Improve data quality lineage observability and discoverability through strong engineering standards testing and metadata practices.

MLOps DataOps & Platform Integration

• Implement end-to-end MLOps pipelines including training deployment monitoring and model lifecycle management across applications like Azure and Databricks.
• Standardise and automate CI/CD pipelines for AI/ML workloads using Git Terraform Docker and Kubernetes.
• Implement robust observability and validation frameworks to ensure performance accuracy and reliability of AI models and agents as well as the resilience and supportability of data pipelines.
• Contribute to the ongoing evolution of AirTrunks AI & Data Platform enabling scalable experimentation production delivery and platform adoption.

Responsible AI & Innovation

• Embed Responsible AI practices through governance ethics and compliance with data privacy standards.
• Experiment with emerging agentic AI technologies to extend platform intelligence and observability while maintaining transparency and trust.
• Apply sound data governance security and privacy practices to data engineering and AI workflows alike.
• Contribute to platform data classification and PII management practices ensuring sensitive data is handled appropriately across structured and unstructured workloads.

Collaboration & Mentorship

• Collaborate cross-functionally with AI Data and the broader technology team to deliver integrated production-ready solutions.
• Mentor junior engineers fostering a culture of quality learning and operational excellence.
• Actively contribute to AirTrunks Data & AI community of practice by sharing knowledge reusable components and engineering improvements.

Requirements

• 5 to 7 years experience in data engineering AI/ML engineering or software engineering with proven delivery of production-grade data and AI solutions in cloud environments.
• Demonstrated ability to architect scalable high-performance and secure data and AI solutions that meet enterprise standards.
• Strong experience designing building and maintaining robust batch and streaming data pipelines with hands-on knowledge of modern data engineering patterns and practices.
• Experience developing and maintaining curated data models and datasets with familiarity in medallion architecture lakehouse concepts and transformation frameworks.
• Hands-on experience with Azure and Databricks preferred and proficiency with data pipeline and streaming technologies including dbt Kafka and Azure Event Hubs.
• Strong programming skills in Python with proficiency in SQL and experience using JavaScript or Shell in engineering workflows.
• Experience building and deploying AI/ML solutions including LLM-based applications intelligent automation or agentic systems using platforms and tools such as OpenAI Databricks Anthropic and LangChain.
• Strong understanding of MLOps and DataOps practices including CI/CD testing monitoring orchestration containerisation (Docker/Kubernetes) and infrastructure as code (Terraform).
• Experience implementing observability validation and quality controls across both data pipelines and AI systems to ensure reliability accuracy and supportability in production.
• Familiarity with real-time and event-driven architectures vector databases and data storage patterns spanning relational NoSQL and analytical platforms.
• Knowledge of data governance privacy and security practices with the ability to embed Responsible AI and sound data management principles into engineering workflows.
• Strong collaboration and stakeholder engagement skills with the ability to work across platform data AI and business teams to deliver integrated solutions.
• A growth mindset with the ability to mentor others contribute reusable engineering patterns and help mature AirTrunks AI and Data engineering capability.

The AirTrunk Culture

Working at AirTrunk is a once in a lifetime opportunity to fast-track your career and amplify your impact. Whilst youre helping scale our regions digital future well help you and unleash your full potential.

The pace in which we operate means youll feel an electric atmosphere at are a team of challengers and collaborative problem solvers who break new ground every day. We do this by living our values going above and beyond and being dynamic transparent and responsive.

Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter. We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment where everyone feels welcome. Our benefits empower AirTrunkers to stay positively charged.

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EEO Statement

The Company is an equal opportunity accordance with applicable law we prohibit discrimination against any applicant employee or other covered person based on any legally recognized basis including but not limited to: veteran status uniformed servicemember status race color caste immigration status religion religious creed (including religious dress and grooming practices) sex gender gender expression gender identity marital status sexual orientation pregnancy (including childbirth lactation or related medical conditions) age national origin or ancestry citizenship physical or mental disability genetic information (including testing and characteristics) protected leave status domestic violence victim status or any other consideration protected by federal state or local law. We are committed to providing reasonable accommodations if you need an accommodation to complete the application process please email