Senior Engineering Manager – AI‑Powered Engineering
Join a dynamic and innovative team shaping the future of AI‑powered distribution in Business Banking. As a Senior Engineering Manager, you’ll lead strategic technical initiatives and mentor engineering leaders within the Virtual Relationship Management (VRM) Crew. You’ll drive the development of agentic platforms that transform traditional business processes into intelligent, autonomous workflows, empowering Australia’s future with unparalleled customer spend insight. You’ll be at the forefront of AI adoption, delivering AI‑enhanced products that drive measurable client impact. As a strategic partner to the business, you'll effectively represent engineering perspectives while balancing technical and commercial considerations. Responsibilities include driving technical leadership, shaping engineering strategy, mentoring managers, defining architecture standards, ensuring scalable and secure AI integration, and fostering transparent, data‑driven communication. We’re interested in hearing from people who
Pride themselves on hands‑on experience leading, mentoring, and growing a high‑performing engineering team that balances technical excellence with business agility. Constantly build and maintain strong partnerships across the business, demonstrating commercial acumen while ensuring engineering is viewed as a trusted partner focused on collective success. Have demonstrable experience managing and coaching leaders. Excel in designing and implementing robust technical architecture and standards that enable scalable, secure AI integration, clearly articulating the business value and timeline implications of architectural decisions. Have solid hands‑on experience developing, executing, and leading a technical roadmap for AI integration. Are confident in driving a culture of transparent, data‑driven communication about delivery timelines, trade‑offs, and risks, including early escalation of challenges. Champion the modernisation of engineering practices through AI‑powered automation, improving development, testing, and deployment processes for speed, quality, and cost efficiency. Drive continuous improvement in our technical foundations, including data quality, infrastructure, and development frameworks. Pride themselves in their ability to balance cultural, people, and technology requirements. Tech Skills
Strong understanding of AI technologies and their practical application in engineering. Proven track record of modernising engineering practices and driving technical transformation. Deep knowledge of cloud platforms (primarily AWS) and modern architecture patterns that enable scalable, secure systems. Experience leading full‑scale AI development teams and solutions (e.g., Agentic Frameworks, NextJS, React, GraphQL, FastAPI, etc.) that deliver exceptional user experiences. Expertise in data engineering, including data transformation, pipeline orchestration, and analytics platforms (e.g., DBT, Data Warehouse, Snowflake). Strong background in cloud‑native DevSecOps practices, infrastructure as code, and automated deployment pipelines (e.g., CloudFormation, CDK, GitHub Actions). Experience implementing robust engineering quality practices, including automated testing and observability solutions. Knowledge of security governance and compliance requirements for data‑intensive applications (e.g., Cloud SSPM/SIEM platforms). Experience building and maintaining secure, high‑performance systems that handle sensitive customer data. Working with us
At CommBank, we advocate and facilitate a culture of inclusion and respect, celebrating all cultures, abilities, genders, expressions of gender and sexual orientation. We’re determined to make a real difference for Australia’s first peoples. If you’re excited about this prospect but you don’t meet every single requirement, we still want to encourage you to send in your application. You may just be the perfect candidate for this or another opportunity within CommBank.
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