Staff AI & Data Engineer
AirTrunk HQ - North Sydney
AUD 160K-215K (estimate) Senior-level Full Time
Tasks
- Architect agentic AI systems with multi agent patterns
- Define AI reliability security scalability guardrails
- Define platform architecture for data and AI workloads
- Deliver scalable AI and ML solutions for operations
- Design optimize batch and streaming data pipelines
- Embed responsible AI security privacy and data governance
- Ensure observability validation resilience and operational support
- Evaluate emerging technologies with pragmatic delivery focus
- Implement Databricks Unity Catalog medallion architecture
- Implement end to end MLOps and DataOps capabilities
- Implement retrieval-augmented generation
- Improve data quality lineage observability and reliability
- Integrate LLM and generative AI into enterprise platforms
- Lead design build evolution of data and AI systems
- Mentor engineers and raise engineering quality
- Provide technical leadership across complex initiatives
- Set up CI CD testing deployment monitoring and orchestration
- Shape scalable lakehouse and event driven data architectures
- Standardize tooling infrastructure patterns and automation
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Agentic AI | Azure | Azure Event | Azure Event Hubs | Batch Processing | CI/CD | DBT | Data Governance | DataOps | Databricks | Databricks Unity | Databricks Unity Catalog | Deep learning | Docker | Event Driven | Event Hubs | Event-driven architecture | Git | Infrastructure as Code | Kafka | Kubernetes | Lakehouse | Language Models | Large Language Models | MLOps | Machine Learning | Medallion Architecture | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Privacy | Python | Responsible AI | Retrieval-Augmented Generation | SQL | Security | Streaming Data | Terraform | Testing | Unity Catalog | “as-code”
Education
N/A
Regions
Countries
States
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