Senior AI Engineer
PwC Australia
Job Overview
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Job Description
Senior AI Engineer at PwC Australia
At PwC Australia, your expertise can shape better outcomes for communities, businesses, and the people who rely on them. Our Data & AI team is expanding, and we’re looking for an accomplished Senior AI Engineer to join our vast community of solvers. By joining PwC's Data & AI team, you will be a key driver in shaping our AI, Generative AI, and Machine Learning strategies. Working with clients across various industries, you will engage in hands-on work with complex and diverse datasets, focusing on designing, deploying, and refining advanced generative AI solutions. Your expertise will be crucial in converting business challenges into innovative data-driven solutions leveraging GenAI through collaboration with cross-functional teams.
Why PwC?
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.
What you’ll do:
- Strategically design and deploy advanced production-grade AI solutions, focusing on Generative AI, LLMs, RAG patterns, and sophisticated agentic workflows.
- Architect and lead the implementation of cloud-native AI systems, refining LLMOps/DevOps pipelines for optimal scalability and reliability.
- Guide the integration and adaptation of data pipelines, APIs, and advanced integration layers for enterprise AI deployment.
- Promote and implement best practices in AI governance, ethics, and responsible AI, ensuring future-proof solutions.
- Lead cross-functional teams to effectively translate and implement complex AI concepts into high-impact business solutions.
What we’re looking for:
- Experience delivering data-driven AI and GenAI solutions in a business environment.
- Analytical Skills: Strong problem-solving abilities and a keen analytical mindset.
- Communication Skills: Ability to convey technical concepts clearly to non-technical stakeholders.
- Business Acumen: Understanding of business processes and the ability to translate business problems into data-driven solutions.
- Team Player: Ability to work collaboratively in a team-oriented environment.
- Technical skills:
- Strong programming skills in Python; familiarity with Java is a plus.
- Experience with data manipulation and analysis using libraries like pandas, NumPy, and SciPy.
- Hands-on experience with AI and Agentic frameworks (LangChain, LlamaIndex, vector databases, LangGraph, CrewAI etc).
- Working expertise and strong understanding of Cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
- Solid understanding of data engineering and pipelines (SQL, ETL/ELT, distributed systems) to handle large datasets and unstructured data, data cleaning, and preprocessing.
- Understanding of SQL and NoSQL databases.
- Familiarity with RESTful APIs and microservices.
- Experience designing production grade AI systems.
- Experience integrating AI into enterprise systems (ERP, CRM, BI) is a plus.
What you’ll gain:
- The opportunity to work with leading organizations 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 Senior AI Engineer 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. We want you to have every opportunity to thrive in our selection process. In the application form, you can let us know what adjustments you require during our recruitment process and/or any workplace accommodations you anticipate needing to help you perform your role.
No Agencies Please: We kindly request that recruitment agencies do not submit CVs in response to this advertisement. We are only accepting applications direct from individuals.
Key skills/competency
- Generative AI
- Large Language Models (LLMs)
- RAG Patterns
- Cloud Platforms (AWS, Azure, GCP)
- Python Programming
- Data Engineering
- LLMOps/DevOps
- AI Governance
- Containerization (Docker, Kubernetes)
- LangChain / LlamaIndex
How to Get Hired at PwC Australia
- Research PwC Australia's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume: Highlight your expertise in GenAI, LLMs, cloud architecture, and data engineering, aligning with the Senior AI Engineer role.
- Showcase problem-solving skills: Prepare examples demonstrating your analytical mindset and ability to translate business challenges into AI solutions.
- Prepare for technical interviews: Practice coding in Python and be ready to discuss cloud platforms, AI frameworks, and data pipeline concepts.
- Demonstrate business acumen: Be ready to discuss how your technical solutions drive business value and impact for PwC Australia's clients.
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