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A leading global consulting firm in Australia is seeking an AI Engineer to solve complex business problems through innovative digital solutions. The role focuses on developing large language models, building evaluation frameworks, and ensuring responsible AI practices. Candidates should have strong skills in deep learning and natural language processing, especially with Python and PyTorch. This position offers flexible working arrangements and a commitment to career development.
At PwC Australia the Advisory Technology team helps solve practical challenges faced by both our diversified Advisory business and our clients. As an AI Engineer you’ll play a vital role in understanding practical digital technologies and the ability to understand and solve complex business problems working with clients across Advisory Technology to adopt emerging technologies, understand our customers’ problems, and apply digital solutions in innovative and progressive manners to support the technological transformation of modern businesses.
At PwC Australia your skills meet purpose. We tackle big challenges across industries like finance, technology, energy and health, giving you the chance to make a real impact. Here your growth is our priority. You’ll work with leading teams, explore new technologies and unlock your full potential.
Join a global community of more than 370,000 people who value bold ideas, collaboration and lasting change. Together we’re building trust and shaping the future.
Designing and fine‑tuning Large Language Models (LLMs) using SFT PEFT / LoRA / QLoRA distillation and implementing RLHF / DPO / RLAIF with defined reward models and feedback pipelines.
Building evaluation frameworks for task quality, grounding, robustness and safety (toxicity, bias, privacy), including offline and online A/B testing with guardrail metrics.
Retrieval‑augmented workflows, agentic patterns, policy‑driven tool use, safe function calling, memory/state management and resilient fallbacks under guardrails.
Demonstrate strong consulting skills with a focus on responsible AI practices, threat modelling, privacy and ethics compliance in the Australian context and effective client collaboration for Proof of Concept (PoC) and Minimum Viable Product (MVP) delivery.
Strong deep‑learning and natural language processing (NLP) skills with PyTorch (or JAX), Transformers, PEFT / LoRA / QLoRA and fundamentals in probability, statistics and experimental design.
Experienced in building and maintaining evaluation suites for quality, robustness, bias/toxicity and jailbreak resistance with offline and online testing.
Proficient in Python programming.
Optional expertise in retrieval (hybrid search, rerankers), knowledge graphs, policy‑driven agentic workflows and privacy‑preserving machine learning (ML) techniques.
The opportunity to work with leading organisations and cutting‑edge technology that challenge and expand your expertise.
Flexibility means trusting you to choose when, where and how you work, balancing what’s best for you, your team and your clients to grow and thrive together.
Clear paths for career progression supported by continuous learning and leadership development.
Generous leave entitlements, including four weeks annual leave and float public holidays, to support your work‑life balance.
A world‑class parental leave policy offering up to 26 weeks of leave for caregivers, supporting your family and personal life.
We know that perks are as important as your financial rewards. Explore all the benefits that PwC has to offer here.
Ready to grow here and go further? Join PwC Australia as a Data Scientist and make an impact that goes beyond the expected. Apply now and take your next step with a team shaping the future.
We’re committed to treating all our job applicants fairly and with respect irrespective of their actual or assumed background disability neurodivergence or any other protected characteristic. During the application process you can let us know any adjustments you require during recruitment and/or any workplace accommodations you anticipate needing to help you perform your role.
We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications directly from individuals.
Line of Service: Advisory
Industry / Sector: Not Applicable
Specialism: Analytics
Management Level: Manager
Job Description & Summary: AI Engineer
Required Experience: Manager
Employment Type: Full‑Time
Vacancy: 1