Senior AI engineer
Method Recruitment Bullhorn ·www.methodrecruitment.com.au
Apply directSenior AI Data Engineer
| Function: Data and AI | Manager: Data & AI Platform Engineering Manager | Location: Hybrid (Melbourne S.E. Suburbs) |
Role Purpose and the Impact You Can Make in This Role
The Senior AI Data Engineer is responsible for designing, building, and operating AI-ready data products and pipelines on the organisation's modern data platform.Reporting to the Data & AI Platform Engineering Manager, this role sits at the intersection of data engineering and applied AI. It focuses on ensuring that data is high-quality, well-modelled, and production-ready for advanced analytics, machine learning, and generative AI use cases.
This is a hands-on engineering role with strong influence over patterns, standards, and how AI is safely and effectively embedded into the organisation's data ecosystem.
Key Accountabilities
AI-Ready Data Engineering
- Design and build reliable, scalable data pipelines optimised for AI and advanced analytics use cases
- Develop high-quality feature sets and curated data models to support machine learning and GenAI workloads
- Ensure data products meet standards for:
- Training, inference, and experimentation
- Reproducibility and traceability
- Performance and cost efficiency
Applied AI & Advanced Analytics Enablement
- Partner with Analytics and Applied AI teams to support:
- Predictive and prescriptive analytics
- Machine learning models
- Generative AI and agent-based use cases
- Translate analytical and AI requirements into robust engineering solutions on Databricks
- Support model lifecycle needs, including:
- Feature generation
- Data refresh and versioning
- Monitoring and ongoing reliability
Modern Data Platform Contribution
- Build and maintain data assets on the Databricks Lakehouse, including:
- Structured, semi-structured, and streaming data
- Bronze / Silver / Gold data layers
- Contribute to platform patterns for:
- Data modelling
- CI/CD and automation
- Data quality and observability
- Collaborate closely with core platform engineers while remaining focused on AI-adjacent workloads
Data Quality, Governance & Safety
- Embed data quality checks, validation, and monitoring into all AI-relevant pipelines
- Ensure data products comply with:
- Security and privacy requirements
- Responsible AI and governance expectations
- Support lineage, documentation, and metadata capture to enable trust and auditability
AI-Assisted Engineering Practices
- Leverage AI-assisted development tools to improve engineering productivity
- Apply AI responsibly in coding, testing, and documentation, aligned with enterprise standards
- Contribute to evolving best practices for AI-assisted data engineering
Your Background and Education
Core Technical Experience
- Strong, hands-on experience as a senior data engineer in modern data environments
- Proven experience building AI-ready data pipelines and models
- Advanced SQL and strong Python skills
- Experience with Apache Spark / Databricks in production
- Any experience across other systems such as ECC6, SAP4Hana, are also highly valued
Cloud & Platform Experience
- Experience working on cloud-based data platforms — Azure and/or AWS experience highly valued
- Familiarity with:
- Lakehouse architectures
- Data modelling for analytics and ML
- Orchestration, CI/CD, and infrastructure-as-code concepts
- Experience integrating data platforms with analytics, ML, or AI tools
AI & Advanced Analytics Exposure
- Practical experience supporting:
- Machine learning models
- Feature engineering
- Advanced analytics or GenAI use cases
- Understanding of data requirements across the AI lifecycle (training ? inference ? monitoring)
- Awareness of AI risk, bias, and governance considerations in enterprise contexts
Ways of Working
- Strong problem-solving and systems thinking
- Comfortable working alongside data scientists, analysts, and platform engineers
- Pragmatic, delivery-focused mindset
- Clear communicator who can translate technical detail into business context
What Success Looks Like
Within 12–18 months, the Senior AI Data Engineer will have:- Delivered production-grade, AI-ready data products on the modern data platform
- Enabled faster, more reliable delivery of analytics and AI use cases
- Improved trust in data used for modelling, forecasting, and automation
- Established strong engineering patterns for applied AI workloads
- Become a recognised technical leader within the data engineering and AI community
Frequently asked questions
Who is hiring for the Senior AI engineer role?
Method Recruitment Bullhorn is hiring for the Senior AI engineer position, a Shazamme client. Apply directly on the employer's career site.
Where is the Senior AI engineer job located?
The Senior AI engineer role with Method Recruitment Bullhorn is based in Dandenong South, VIC, AU. The role is hybrid-friendly.
Is the Senior AI engineer role remote?
Yes — the Senior AI engineer position at Method Recruitment Bullhorn is hybrid. Candidates based in AU are preferred.
Is the Senior AI engineer role full-time or contract?
This is a full time position at Method Recruitment Bullhorn.
What experience level is the Senior AI engineer role?
The Senior AI engineer position is aimed at senior-level candidates.
How do I apply for the Senior AI engineer role at Method Recruitment Bullhorn?
Apply directly on Method Recruitment Bullhorn's career page via the Apply button on this listing. ZammeJobs links straight through to the employer's ATS — no third-party form, no resume database.