Date:
25 Aug 2026
Location:
Melbourne, VIC, AU
Sydney, NSW, AU
Perth, WA, AU
Department:
Tax and Legal
Description:
Job Requisition ID: 41833
Build production AI and agentic capabilities for Deloitte’s next generation of Tax products
Work in a start-up-like environment with the opportunity to develop new features
World-class learning and leadership programs – to continually drive your career
This is your chance to help shape how Deloitte and our clients use AI, data and automation to transform Tax. As an Applied AI Engineer in our Tax Transformation & Technology team, you will turn complex Tax processes into reliable, secure and testable AI-assisted solutions. You will combine large language models with deterministic tools, structured data and human review to build products that can be trusted in real Tax delivery.
This role is ideally based in Melbourne, although we are also open to candidates in Sydney or Perth.
What will your typical day look like?
You will work across AI product design, backend engineering and data-intensive Tax systems. The focus is practical applied AI: building capabilities that are useful, explainable, monitored and secure for enterprise use.
The role involves:
Mapping Tax workflows and deciding where to use AI, deterministic rules and human review
Building LLM assistants, document intelligence and agentic automation for Tax
Orchestrating agents using LLM APIs, tool calling, structured outputs and state management
Building RAG pipelines across ingestion, chunking, embeddings, retrieval and grounding
Building evaluations, reference datasets, monitoring and feedback loops for quality, latency and cost
Implementing grounding, guardrails, access controls, traceability and human review to reduce hallucination and support responsible AI
Building, deploying and supporting secure AI services across cloud, backend and enterprise systems
Working with tax and engineering teams to turn complex tax requirements into reliable AI-enabled product features.
About the team
Deloitte’s Tax Transformation & Technology team builds and operates the products, platforms and engineering capabilities that are changing how Tax work gets done.
We believe the future of Tax will be powered by data, automation and AI. Our multidisciplinary team brings together Tax specialists, software and data engineers, product thinkers and AI technologists to solve complex problems and turn ideas into dependable production solutions.
We are modernising our shared Tax platform and rules engine while developing AI-powered products that support complex compliance and advisory workflows. You will join a collaborative engineering environment where quality, traceability and responsible innovation matter as much as delivery speed.
Enough about us, let’s talk about you.
Experience building production software, data or applied-AI products
Highly proficient in Python and comfortable working across an AI application stack
Hands-on experience with LLM applications, including prompting, structured outputs, tool calling, RAG and model integration.
Experience implementing multi-agent systems using frameworks and patterns such as ReAct, self-reflection, plan-execute or hierarchical delegation
Ability to combine probabilistic AI with deterministic logic, controls and auditability
Experience evaluating AI systems using reference datasets, automated tests, regression and monitoring.
Confidence working with APIs, structured data and data-processing workflows
Understanding of secure software deployment, including cloud hosting, identity, data protection, logging and governance.
Familiarity with CI/CD, source control, automated testing and modern software delivery practices.
Ability to translate complex domain requirements into working product features working with engineering, product teams and business stakeholders.
The following experience would be advantageous:
Exposure to AI research, postgraduate study or evidence of staying current with AI engineering methods
Data science experience using tools such as pandas, scikit-learn, PyTorch or TensorFlow
Experience with agentic developer tools, such as GitHub Copilot or Claude Code.
Exposure to Azure OpenAI, Azure AI Foundry, vector databases, Docker, Kubernetes or MLflow.
Experience with JavaScript, TypeScript or another relevant language is valuable
Why Deloitte?
At Deloitte, we focus our energy on interesting and impactful work. We're always learning, innovating and setting the standard; making a positive difference to our clients and our society. We put coaching at the heart of what we do, helping our people grow their careers in any direction - whether it be up, moving into something new, or even moving across the world.
We embrace diversity, equity and inclusion. We have a diverse collection of people from different backgrounds, with different experiences, gender identities, abilities and thinking styles. What binds us together is a shared commitment to value everyone's perspective and to cultivate inclusion; so that our work environment is a safe space we can all belong.
We value in-person connection with our clients and our colleagues. We offer several ways for you to work flexibly so that you can serve your clients, stay connected with your team, and manage your personal priorities.
We help you live and work well. To support your personal and professional life, we offer a range of perks and benefits, including retail discounts, wellbeing leave, paid volunteering days, twelve flexible working options, market-leading parental leave and return to work support package.
