Staff AI Engineer, Enterprise Capabilities & Leadership

CommBank; Sydney; On-site; AUD 180,000 - 260,000; Full time

Job summary

CommBank’s Group AI Enablement team seeks a Staff Software Engineer to shape enterprise AI capabilities, designing architecture and delivering secure, reliable software at scale. You’ll lead hands-on engineering while mentoring teams and collaborating with product and control functions to realize AI initiatives.

You’ll work across agentic AI, RAG and cloud platforms, balancing pragmatic trade-offs with maintainable design, security and observability to deliver reusable AI capabilities across the

Qualifications

• Experienced software engineer with hands-on technical capability and influence-led leadership.
• Experience delivering scalable software in complex environments from design to production.
• Proficient in building or integrating AI capabilities and enterprise-grade APIs.

Responsibilities

• Shape architecture and engineering approach for enterprise AI capabilities.
• Design, build and review production software, integrations and shared services.
• Build reusable components and reference implementations for scalable AI adoption.
• Evaluate AI tools and platforms through experimentation and due diligence.
• Connect AI capabilities with enterprise systems and data sources, ensuring proper access controls.
• Establish repeatable evaluation approaches for quality, safety, latency and cost.
• Build secure, production-ready solutions with observability and resilience.
• Lead technical discussions, review designs and mentor engineers.

Skills

Python

TypeScript

C#

APIs

Distributed systems

AWS

Azure

CI/CD

DevSecOps

Mentoring

Tools

AWS

Azure

Job description

CommBank’s Group AI Enablement team seeks a Staff Software Engineer to shape enterprise AI capabilities, designing architecture and delivering secure, reliable software at scale. You’ll lead hands-on engineering while mentoring teams and collaborating with product and control functions to realize AI initiatives.

You’ll work across agentic AI, RAG and cloud platforms, balancing pragmatic trade-offs with maintainable design, security and observability to deliver reusable AI capabilities across the