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 4 months ago
This role is expired
These roles are hiring now
View all similar roles →Director - Data and AI
Slalom
Sydney, NSW
hybrid- Lead cloud data warehouse, analytics solutions and data strategy delivery
- Director level with team leadership and business development experience
- AWS, Azure, GCP, Spark, Snowflake, Redshift, BigQuery, Python, ML
Posted 4d ago
Applied AI Architect
Anthropic
Sydney, NSW
hybrid- Pre-Sales architect for Claude AI, guiding enterprise customers
- 10+ years in Solutions Architect, Sales Engineer, or Technical Account Manager
- Python, LLM frameworks, cloud architecture, technical communication
Posted 5d ago
Forward Deployed Engineer - Public Sector, Nonprofit & Education
Salesforce
Sydney, NSW | Melbourne, VIC | Brisbane, QLD
hybrid- Design, build and deploy agentic AI solutions in enterprise environments
- 3+ years software engineering or technical delivery (6-10 for Senior)
- Python/JavaScript/Java/Apex, LLMs, prompt engineering, data modeling, APIs
Posted 5d ago
AI Enablement Builder
Nuix
Sydney, NSW
hybrid- Build production AI solutions embedded in business functions
- 5+ years software/AI engineering, 2+ years with business stakeholders
- Python, LLMs, RAG, agentic workflows, prompt engineering
Posted 11d 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