AI Engineer - 12 Month FTC (Multi-level positions available)

About Us

At ANZ, we're shaping a world where people and communities thrive, driven by a common goal: to improve the financial wellbeing and sustainability of our millions of customers.

About the Role

As an AI Engineer in the Complaint Uplift Program, you will be accountable for managing the analytic methods and processes required to support the usage of Generative AI models to measure and assure the Complaints quality processes. You will help establish and validate the data sourcing requirements, understand the data available and frameworks needed to be assessed and build (and support deployment of) solutions for using the available inputs to be interrogated through Generative AI/Agentic techniques to generate outputs to support quality control and assurance of the Complaints management process. You will understand the downstream consumption requirements (e.g. reporting, model monitoring and integration back to Complaints Management System/Salesforce) and ensure the analytic processes cater for those downstream requirements.

You will undertake these activities in a cross functional squad supported by external consultants and comprising Complaints SMEs, Business Analysts, Data Engineers and more. You will be collaborating to support the achievement of project or business outcomes such as process mapping and change transition as well as the technical implementation of the data and AI processes. Working alongside Teams in Customer Resolutions, Data Portfolio, ANZ*Plus, Assurance as well as key support partners in Risk, Technology and Operations, the AI Engineer plays an integral role in ensuring Project success.

You will actively participate in feedback processes to develop and refine solutions leveraging large language models, requiring strong understanding of the purpose of the complaint quality frameworks and how to improve the use of the large language models to improve consistency, accuracy and confidence of the model outcomes. You will help establish the analytic development process to continuously refine these models and deploy new models/model versions in a controlled and measured way, including establishing best practices for change management, evolution of business and system prompts, and measuring the efficacy of these change impacts.. You will be across the different foundational models that are available and will be able to recommend and support assessment of different models in the overall framework.

Role Type: 12 Month Fixed Term
Role Location: Melbourne
Work Hours: Full-Time

What will your day look like?

Address and solve complex business issues using large amounts of data (structured and unstructured)
Understand the application of Generative AI in a cloud data & analytic eco-system, and develop analytical solutions that best support transformation of the Complaints quality business processes
Continuous development, monitoring, presenting and conducting of 'fact-based' analysis and models to use at any time for the development and improvement of relevant quality management processes
Design, build, deploy, monitor and assess relevant models for implementation as AI Agents in the complaints management value chain (identify, classify, manage, quality control, remediate)
Design and implement best practices for Agentic AI solutions to effectively operate in an environment comprised of other heterogeneous agents with access to a diverse set of tools.
Identify data from a variety of sources to combine, synthesise and analyse to support complaints quality management processes

What will you bring?

Good understanding of the Banking system and products, service, channels in support of the understanding of the customer experience that led to the Complaint
Highly desirable to have good knowledge of Complaints management processes, Quality Assurance processes and the relevant regulatory environment.
Strong customer lens with a bias towards safety, consistency and fairness in how AI is applied to the process.
Solid understanding of predictive modelling, pattern recognition, clustering, supervised and unsupervised learning
Proven experience in applied probability and statistics
Hands-on knowledge and experience with tools and techniques for analysis, data manipulation and presentation
Experience in using open source technologies for Data Science, specifically Python and key supporting packages/libraries and development environments
Experience in using Generative AI to solve real business challenges, ideally with multiple model families (e.g. Gemini, Anthropic, OpenAI, Meta)
Experience with Retrieval Augmented Generation (RAG) frameworks, and best practices for generating and using embeddings.
Use of Google Cloud Platform services such as Vertex AI and related data management services (BigQuery, CloudSQL etc).
Ability to understand and test trade-off for model quality, performance and cost management
Strong ability to translate model outputs and insights into practical business recommendations
Feature Engineering - Masters a wide range of techniques and optimizes feature engineering processes.
Machine Learning Modelling - Selects appropriate modeling techniques, translates business requirements, and systematically improves model performance.
Model Evaluation and Validation - Ability to assess and monitor the performance of AI solutions, and assess and address drivers of poor performance.

So why join us?

From the moment you join ANZ, you'll be doing meaningful work that will shape a world where people and communities thrive.

But it's not just our customers who'll feel your impact. You'll feel it too. Because at ANZ, you'll have the resources, opportunities, and support you need to take the next big step in your career.

We're a diverse bunch at ANZ in different roles, different locations, doing different things. That's why we have a range of flexible working arrangements, so our people can 'make work, work for them'. We also provide a range of benefits including access to health and wellbeing services and discounts on selected products and services from ANZ and more.

At ANZ, you'll be part of an organisation where the different backgrounds, perspectives and life experiences of our people are celebrated. That's because we're committed to building a workplace that reflects the diversity of the communities we serve. We welcome applications from everyone and encourage you to talk to us about any adjustments you may require to our recruitment process or the role itself. If you're a candidate with a disability or access requirement, and have an enquiry about the support provided, please let us know on your application or visit ANZ Accessibility and Inclusion Programs for alternate contact methods.

To find out more about working at ANZ, visit https://www.anz.com.au/careers. You can apply for this role by visiting ANZ Careers and searching for reference number 96245 .