Staff AI Engineer

Organization :- At CommBank, we never lose sight of the role we play in other peoples financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things.

Job Title:- Staff AI Engineer

Location: - Bangalore

Business & Team :-

Retail Technology is a centre of excellence within the Retail Banking Digital space and plays an integral part in the purpose and success of CommBank. We are responsible for delivering an exceptional customer experience across all digital touch points.

Within Retail Technology, youll be part of Home Buying Technology unit which engineer the applications underpinning our retail home lending business.? The team is responsible for delivering amazing experiences and exceptional end-to-end capabilities to our customers through the multiple channels such as digital, branch and broker/third party.

Our platforms and frameworks enable outstanding design and simple, intuitive features used by millions of people. Were constantly striving to be the best in digital, pushing the boundaries to provide an unrivalled, personalised user experience across every product.

Our team is collaborative, supportive and keen to share knowledge. We emphasise open communication, quality work and a culture of excellence. Here youll experience flexibility, great rewards and the opportunity to drive your own career growth. Were dedicated to growing our people and encourage you to follow your thirst for knowledge across CommBanks diverse tech stack.

Impact & contribution :-

• Accelerate CBAs Home Buying digital strategyby delivering AI-powered experiences that help customers seamlessly navigate their home buying journey through digital channels.

• Design and build AI agent ecosystems and intelligent assistantsthat transform how customers interact with CBA, enabling faster, smarter, and more personalised banking experiences.

Help shape the future of AI-powered banking platformsby building scalable AI systems that leverage CBAs enterprise AI ecosystem and support millions of customer interactions

• Design and build AI-powered applications and intelligent agent ecosystemsthat enable seamless digital experiences for customers navigating their home buying journey.

• Develop multi-agent systems using Agent-to-Agent (A2A) communication patternsto orchestrate complex workflows across enterprise systems and banking services.

• Build scalable AI and data platforms, developing robust data pipelines and distributed processing systems to support AI, analytics, and machine learning workloads.

• Develop and deploy generative AI solutionsleveraging enterprise AI platforms such as Amazon Bedrock, Lite LLM, Portkey, and Microsoft Copilot Studio, including LLM orchestration and prompt workflows.

• Collaborate with Data Science, product, and engineering teamsto productionise machine learning models and deliver customer-facing AI capabilities.

• Contribute to architecture, engineering standards, and best practicesfor building scalable, secure, and responsible AI systems.

Essential Skills:

• Strong programming experience in Python, with hands-on use of Pandas, SQL, and PySparkfor building data pipelines and large-scale data processing systems.

• Experience working with enterprise data platforms and distributed data processing tools such as Hadoop, Apache Spark, Ab Initio, and Teradata.

• Experience building AI-powered applications using Large Language Models (LLMs), including multi-agent systems, AI assistants, chatbots, or generative AI applications.

• Strong understanding of AI agent architectures, including Agent-to-Agent (A2A) communication patterns, agent orchestration frameworks (e.g., LangGraph), and asynchronous programming using Python Asyncio.

• Experience developing scalable backend services for AI applications using FastAPI, microservices architecture, and API-driven integrations.

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• Experience working with enterprise AI platforms such as Amazon Bedrock, Lite LLM, Portkey, and Microsoft Copilot Studio.

• Experience building and deploying production AI systems using modern engineering practices such as CI/CD pipelines (GitHub Actions), version control, testing, and monitoring.

• Ability to collaborate with data scientists, engineers, and product teamsto design and deliver AI-powered digital experiences.

• Strong problem-solving skills with the ability to contribute to technical architecture, platform design, and engineering best practices.

Education Qualification :-

• Bachelors degree or Masters degree in Engineering in Computer Science/Information Technology.