Engineering Manager

Engineering Manager Location : Bangalore Your Business As CommBank transforms the way we engage with customers and colleagues, the Gen AI Domain is enabling deeply personalised digital experiences powered by colleagues, AI and APIs. The domain provides the platforms, services and practices required for teams across the bank to safely and effectively incorporate Generative AI into enterprise solutions within a highly regulated environment.

About Cba (CommBank Careers)

Organization CommBank’s Gen AI Domain within CDAO builds the platforms, tools and practices that enable teams across the bank to safely adopt Generative AI.

The domain focuses on capabilities including Gen AI platforms, RAG, Knowledge Engineering and Prompt Engineering, supporting initiatives such as Transformer Banking.

Team You will lead a multidisciplinary team of Engineers and Data Scientists specialising in Generative AI.

The team works across multiple squads delivering platforms, tools and services including the Gen AI Hub and Transformer Banking Experience, with a particular focus on Prompt Engineering and Knowledge Engineering.

Team and Culture Inspire others to demonstrate CommBank values and build passionate, collaborative and high-performing teams.

Responsibilities

• & Contribution As a Gen AI Chapter Lead, you will lead, manage and develop engineering professionals with diverse technical skillsets and a specialisation in Generative AI.
• Build and lead high-performing engineering teams.
• Own goal setting, performance management, career development and employee engagement.
• Gen AI engineering capability and technical skill uplift.
• Partner with Technology Product Owners, Principal Engineers and senior stakeholders.
• Support engineers working across multiple squads and priorities.
• Drive continuous improvement and engineering excellence.
• Maintain sufficient technical depth to engage directly with complex engineering problems and, where required, dive into code.
• Reporting Lines Direct line reporting into the Engineering General Manager/CAL, Gen AI, India .
• Team and Responsibilities Collaborate & Partner Collaborate with Technology Product Owners across squads to achieve Squad and Chapter goals.
• Cultivate key internal and external partnerships.
• Act as a key liaison between support and cross-functional teams across Australia and India.
• Partner with Squads and Centre of Excellence leads to determine skill and capability requirements.
• Support sustainable resourcing and capability planning across Gen AI teams.
• Work effectively across Engineering, Architecture, Data, AI and Product disciplines.
• & Execute Strategy Elevate engineering craft capabilities across the portfolio to accelerate Gen AI delivery.
• Drive a strong technology culture of continuous improvement.
• Support workforce planning and movement of engineering talent across squads.
• Help squads identify the right technical skills and capabilities.
• Bring demonstrable software development experience and technical credibility.
• & Drive Cultural Change Build an Engineering Mindset and AI-First Mindset across teams.
• Inspire teams through a collaborative and positive leadership style.
• Develop a high-performing engineering culture aligned with CommBank values.
• Drive a one-team culture across Engineering and other technical disciplines.
• Encourage knowledge sharing and adoption of engineering best practices.
• Design and implement accredited learning pathways, reskilling initiatives and talent transformation programs.
• Build technical academies that enable people to upskill and become proficient across multiple technologies and capabilities.
• Take accountability for the development, performance management and career progression of technology professionals.
• Drive a Risk Mindset Build collaborative relationships with stakeholders to identify risks early.
• Ensure technology and Gen AI risks are managed effectively and in a timely manner.
• Role-model exceptional risk behaviours.
• Embed a strong risk culture across engineering teams.
• Promote secure, responsible and compliant adoption of Generative AI within a regulated banking environment.
• Continuously improve and innovate engineering practices, platforms and ways of working.

Requirements

• Be willing to engage deeply with technical challenges and dive into code where required.
• Demonstrate a strong understanding of software design and the Software Development Lifecycle.
• Stay current with emerging technologies, Generative AI capabilities and engineering methodologies.
• Skills & Experience Minimum 12–14 years of relevant technology experience .
• Minimum 5+ years of experience in a core technology organisation or Banking environment .
• Proven track record of building and leading teams of engineering professionals.
• People Management and Engineering Leadership experience, beyond Project or Program Management.
• Strong stakeholder management capabilities.
• Technology delivery expertise combined with strong technical depth.
• Demonstrable software engineering/development experience.
• Strong understanding of software architecture, design and SDLC.
• Experience operating effectively within cross-functional teams.
• Strong communication, influencing and negotiation skills.
• Ability to solicit opinions, receive feedback and influence senior stakeholders.
• Strong written documentation and technical specification skills.
• Excellent problem-solving skills with the ability to develop creative solutions to complex problems.
• Strong cross-cultural communication skills and experience collaborating across locations and time zones.
• Ability to thrive in a high-ambiguity and rapidly evolving technology environment.
• Capabilities Experience across one or more of the following: Generative AI Gen AI Adoption Prompt Engineering Knowledge Engineering Platform Engineering Architecture AI / Machine Learning Data Engineering / Data Science Exposure to relevant technologies and capabilities including: Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic AI frameworks LangChain Semantic Kernel LLM fine-tuning
• Machine Learning Vector databases
• Graph databases SQL databases
• Python TypeScript C# AWS Azure Cloud Solution Architecture and Development Infrastructure as Code (IaC) Cloud Security Secure Coding Non-deterministic automated testing

System Reliability Engineering Customer engagement systems

• Workflow platforms Your Capability Customer Focus Create value in each customer interaction while maintaining a strong focus on the total customer experience.
• Effective Communication Communicate clearly and with impact to build understanding, engagement and commitment to action.
• Judgement Apply technical, organisational, industry and risk knowledge to make effective decisions.
• Results Take ownership, initiate action and remain accountable for achieving technology and business outcomes.
• Bachelor’s degree in engineering or master’s degree in computer science.

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29/11/2026