Chief Engineer (AI)
Expired
This role has expired and is no longer accepting applications. Browse similar roles →
XPT Software
Sydney, NSW
Contract
Apply for this job
Posted 6 months ago
This role is expired
These roles are hiring now
View all similar roles →Principal Enterprise Architect, Data and AI (FSI), Applied Field Engineering
Snowflake
Sydney, NSW
hybrid- Technical authority for FSI customers on data and AI architecture
- 10+ years data architecture, cloud platforms, financial services experience
- AI/ML, generative AI, regulatory compliance, FSI domain expertise
Posted 12h ago
Senior Solutions Architect, Edwin AI
LogicMonitor
Sydney, NSW
- AI solutions expert supporting Edwin AI projects and professional services
- 4+ years IT infrastructure experience, 3+ years programming
- Python, PowerShell, Java, AI/ML, LLMs, autonomous agents, cloud platforms
Posted 1d ago
AI Solution Designer
Aware Super
Sydney, NSW | Melbourne, VIC
hybrid- Design, build and deploy AI solutions and automation across the organisation
- Proven hands-on experience in enterprise AI solution design and deployment
- LLMs, prompt engineering, RAG, Python, Copilot Studio, Azure OpenAI
Posted 1d ago
Senior AI Engineer
Quantium
Sydney, NSW
hybrid- Build AI-enabled tools and products used across the organisation
- Hands-on experience building AI-enabled solutions and using coding agents
- Full-stack generalist, AI engineering, coding agents, cloud
Posted 1d ago
About Us
About XPT
- XPT Software Australia PTY Ltd, incorporated in 2016, is a Software Services company
- XPT works with top clients across Australia in Banking, Insurance, Telecom, Retail, Energy, Mining and Manufacturing domains.
- We have 120+ technocrats in Australia working at our client locations.
- XPT Software Australia is part of group companies which has global presence across India & Europe.
- We have served 100+ clients globally, fulfilling their onsite-offshore needs.
Job Description
5+ years of experience in software engineering, with AI/ML leadership roles. Proven experience with Microsoft Azure AI Studio, Azure Machine Learning, and enterprise cloud platforms. Strong background in enterprise architecture and large-scale distributed systems. Demonstrated leadership experience managing senior engineering teams in complex organizations. Deep understanding of banking systems, financial regulations, and risk/compliance frameworks.
Requirements
- 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