AI Engineer - Data Platforms (Azure) at Westpac Group

Sydney, New South Wales, Australia -

Full Time

Start Date

Immediate

Expiry Date

04 May, 26

Salary

0.0

Posted On

03 Feb, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Engineering, Automation, Machine Learning, RPA Bots, Azure Machine Learning, Synapse, Azure AI Services, Python, TensorFlow, PyTorch, Scikit-learn, Gen-AI Solutions, Stakeholder Engagement, Ethical AI Practices, Continuous Improvement, Customer Experience

Industry

Financial Services

Description

Create your best future and complement Westpac as an AI Engineer! We’re seeking a highly engaging, influential and experienced AI Engineer with deep expertise in automation and a strong track record in corporate environments, ideally within financial services. You will form part of our dynamic and progressive Data Platforms teams who are all about transforming complex business processes into intelligent, scalable solutions that deliver measurable impact. You’ll combine technical excellence with highly developed commercial awareness, a customer-first mindset, and exceptional emotional intelligence to influence stakeholders and drive adoption of AI-powered automation. So, what will you be doing in the role? Analyse and map manual processes to uncover automation opportunities. Design and deploy robust AI solutions — machine learning models, agentic applications, and RPA bots — that replace repetitive workflows. Prototype, test, and implement AI-powered systems in production. Partner with business and technical teams to ensure solutions align with operational needs. Monitor, maintain, and continuously improve automated systems. Document solutions and deliver training to stakeholders. Champion ethical, secure, and responsible AI practices. Upskill teams on Gen-AI capabilities and best practices. What you need to succeed … Proven experience developing Gen-AI solutions (prompting techniques, RAG, agentic patterns) as a gained in a corporate setting (e.g. Financial Services, Consulting Houses servicing the Financial Services industry). Deep hands-on practical expertise with Azure Machine Learning, Synapse, and Azure AI Services. Strong technical engineering background and deep understanding of financial services products and processes. Knowledge of infrastructure deployment and management. A continuous improvement mindset and a default ability to cater your language and style to suit your audience. Microsoft Azure certifications highly regarded. Advanced programming skills in Python and familiarity with ML libraries (TensorFlow, PyTorch, scikit-learn). Please note that is very important that your skills and experience to date have featured strong examples of practical work in the AI space and you are passionate about providing sensational customer experiences every step of the way. We are all on an exciting change journey to strengthen processes and make life easier for one another through the advances of modern technology! We're excited - are you? We’re obsessed with becoming our customers' #1 banking partner for life and we’re looking for people who are passionate 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: Special 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. 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. #LI-Hybrid.

Responsibilities

The AI Engineer will analyze and map manual processes to identify automation opportunities and design robust AI solutions to replace repetitive workflows. They will also partner with business and technical teams to ensure alignment with operational needs and continuously improve automated systems.