Senior AI Solutions Architect — Global Markets

Commonwealth Bank; Sydney; On-site; AUD 140,000 - 210,000; Full time

Job summary

Commonwealth Bank is seeking a skilled AI practitioner to join the AI Solutions team in Global Markets. You will develop AI-powered solutions for forecasting, pricing and risk management, combining software engineering, data science and business knowledge to drive measurable outcomes.

You'll work with data scientists, engineers and business stakeholders to take AI use cases from concept through production while continually refining and deploying enhancements across enterprise-scale cloud

Qualifications

• Experience in AI/ML development for enterprise-scale production
• Strong Python programming with testing and version control practices
• Hands-on experience with cloud AI platforms (AWS/Azure) in an enterprise context
• Ability to translate technical concepts into business outcomes

Responsibilities

• Deliver AI and machine learning solutions focused on forecasting, pricing and risk management within Global Markets.
• Take use cases from discovery and experimentation through production deployment and ongoing optimisation.
• Build agentic and generative AI applications using modern frameworks and enterprise AI platforms.
• Collaborate with engineers, data scientists and stakeholders to design scalable and practical solutions.
• Partner with business stakeholders to identify opportunities and refine AI use cases.
• Contribute to testing, model validation, deployment, monitoring and governance practices.

Skills

Python

Cloud platforms (AWS/Azure)

Generative AI

Agentic AI

Testing & version control

Education

Degree in quantitative finance, mathematics, computer science or related discipline

Tools

Git

Docker

Job description

Commonwealth Bank is seeking a skilled AI practitioner to join the AI Solutions team in Global Markets. You will develop AI-powered solutions for forecasting, pricing and risk management, combining software engineering, data science and business knowledge to drive measurable outcomes.

You'll work with data scientists, engineers and business stakeholders to take AI use cases from concept through production while continually refining and deploying enhancements across enterprise-scale cloud