Chief Engineer (AI)
On-siteSydney, New South Wales, Australia
Sydney, New South Wales, AustraliaOn-siteContractSenior LevelSmall
ContractSenior LevelSmall
Job Summary
Lead enterprise AI architecture and strategy for banking systems, designing scalable distributed solutions on Microsoft Azure AI Studio and Azure Machine Learning. Manage senior engineering teams to execute MLOps pipelines, oversee data engineering for model lifecycle management, and ensure strict adherence to financial regulations, risk frameworks, and compliance standards. Drive agile and DevOps practices while managing stakeholder communication across complex organizations. Requires 5+ years in software engineering with AI/ML leadership, AS/400, and Java expertise.
Required Qualifications
- 5+ years of experience in software engineering, with AI/ML leadership roles
- experience in AS/400
- experience in Java
- experience with Microsoft Azure AI Studio
- experience with Azure Machine Learning
- experience with enterprise cloud platforms
- background in enterprise architecture
- background in large-scale distributed systems
- leadership experience managing senior engineering teams in complex organizations
- understanding of banking systems
- understanding of financial regulations
- understanding of risk/compliance frameworks
- Enterprise AI Architecture & Strategy
- Microsoft AI/Cloud Ecosystem (Azure AI Studio, Azure ML, Cognitive Services)
- MLOps & Scalable AI Deployment
- Data Engineering & Model Lifecycle Management
- Banking Domain Expertise (Risk, Fraud, AML, Compliance)
- Leadership & Stakeholder Management
- Agile & DevOps Practices
- Strong communication and executive presence
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