At CommBank, we never lose sight of the role we play in other people's 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. Job Title: Senior Data Scientist
Business & Team: BB Advanced Analytics and Artificial Intelligence COE

As a Senior Data Scientist, you will be instrumental in pioneering Gen AI and multi-agentic systems at scale within CommBank. You will architect, build, and operationalize advanced generative AI solutions—leveraging large language models (LLMs), collaborative agentic frameworks, and state-of-the-art toolchains. You will drive innovation, helping set the organizational strategy for advanced AI, multi-agent collaboration, and responsible next-gen model deployment.

Gen AI Solution Development:
transformers, GANs, VAEs, Diffusion Models) tailored for financial domains.
Architect, implement, and optimize multi-agent systems, enabling swarms of AI agents (utilizing frameworks like Lang chain, Lang graph, and MCP) to dynamically collaborate, chain, reason, critique, and autonomously execute tasks.
LLM-Backed Application Design:
Guardrails & Responsible AI:
Employ frameworks like Guardrails AI to enforce robust safety, compliance, and reliability in LLM deployments. Enterprise-Grade Deployment:




Productionize and manage at-scale Gen AI and agent systems with cloud infrastructure (GCP/AWS/Azure), utilizing model optimization (quantization, pruning, knowledge distillation) for latency/throughput trade offs.
Leverage and contribute to open source projects in the Gen AI ecosystem (e.g., Partner with product, engineering, and business teams to define high-impact use cases for Gen AI and agentic automation; Guide junior team members in best practices for Gen AI, prompt engineering, agentic orchestration, responsible deployment, and continuous learning. Represent CommBank in the broader AI community through papers, patents, talks, and open-source.
10+ years of hands-on experience in Machine Learning, Deep Learning, or Generative AI domains, including practical expertise with LLMs, multi-agent frameworks, and prompt engineering.

- Proficient in building and scaling multi-agent AI systems using Lang Chain, Lang Graph, Semantic Kernel, MCP, or similar agentic orchestration tools.
- Advanced experience developing and deploying Gen AI APIs using Quick API; operational familiarity with Lang fuse for LLM evaluation, tracing, and error analytics.
- Experience with transformer architectures (BERT/GPT, etc.), Experience integrating open and commercial LLM APIs and building retrieval-augmented generation (RAG) pipelines.
- Papers, patents, or open-source contributions to the Gen AI/LLM/Agentic AI ecosystem.
- Experience with financial services or regulated industries for secure and responsible deployment of AI.

Education Qualifications: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology.

📌 Senior Data Scientist (AI/ML) (Bengaluru)
🏢 Commonwealth Bank
📍 Bengaluru