Senior AI Engineer at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

06 Apr, 26

Salary

0.0

Posted On

06 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, GenAI, CI/CD, Jenkins, GitHub, Bamboo, Hadoop, Spark, Azure ML, Node.js, React, Terraform, Chef, Bash, PowerShell

Industry

Financial Services

Description

Continue your professional AI journey with Westpac … Ready to make you mark? No two days will be the same as you work in a highly visible function and complement our Digital, Data & Artificial Intelligence (DDAI) team of SMEs. As an experienced, passionate, and engaging Senior AI Engineer, you’ll be the technical powerhouse behind next-gen AI applications and ML models that redefine how we serve millions of customers. From GenAI agentic systems to production-grade ML pipelines, you’ll architect, engineer, and operationalise solutions that make a real-world impact. Importantly, you’ll collaborate with data scientists, software engineers, and product leaders to transform ideas into scalable, secure, and ethical AI systems. This is your chance to lead in a space where responsible AI meets bold innovation. What will you be doing? Design, develop, and deploy ML models and GenAI applications that solve complex business challenges. Build robust CI/CD pipelines and automation using Jenkins, GitHub, Bamboo. Engineer solutions leveraging LlamaIndex, LangChain, AutoGen, DSPy, and other advanced frameworks. Work with big data ecosystems (Hadoop, Spark) for feature engineering and data processing. Implement solutions on Azure ML, Synapse, and Azure AI Services. Contribute to backend and frontend development (Node.js, React) and explore graph databases for innovative use cases. Your skills & experience … Expert-level Python and mastery of ML libraries (TensorFlow, PyTorch, scikit-learn). Outstanding people skills and able to cater your language, style, and cadence to suit your audience. Deep experience with IaC tools like Terraform and Chef. Familiarity with scripting languages (bash, PowerShell). Certifications in Azure & AWS. A passion for responsible AI, scalability, and performance. Advanced firsthand practical AI engineering experience as gained in complex corporate environments. Our team thrives on different perspectives, backgrounds, and experiences—because the best AI solutions are built by inclusive minds. We’re committed to creating an environment where everyone belongs, and where your voice shapes the future. Why join us? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are enthusiastic about helping us achieve that goal. In return, we’re committed to making Westpac the best place to work in the country. Here are just a few of the ways we’re already doing that: Exclusive offers on banking products and discounts from top brands, including generous employee-only mortgage rates! Flexible work arrangements to help you achieve a greater work/life balance, and a variety of leave options including Culture, Lifestyle and Wellbeing leave. Tailored learning and development opportunities to help your grow your career within the bank. Lots of opportunities to ‘give back’ to the Community by getting involved in our many volunteering initiatives. Like to learn more? To get started, simply click on the APPLY or APPLY NOW button. We’re all about creating a supportive and inclusive community. We welcome everyone – no matter your age, gender, background, or abilities. We also provide additional support to welcome our veterans, Indigenous Australians, and neurodiverse community. If you need any adjustments during the recruitment process, you can find out more information and additional contact details by visiting the "People with Disability and/or needing Accessibility Requirements" page on our website.

Responsibilities

Design, develop, and deploy ML models and GenAI applications to solve complex business challenges. Collaborate with data scientists, software engineers, and product leaders to create scalable and ethical AI systems.