Job Description
Location
Sydney NSW 2000
Benefits
Pulled from the full job description
Parental leave
Annual leave
Full job description
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 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:
Lead the design, building, and deployment of production-grade AI solutions, focusing on Generative AI, LLMs, RAG patterns, and sophisticated agentic workflows.
Architect cloud-native AI systems across AWS, Azure, GCP, ensuring cost-efficient scalability via LLMOps/DevOps pipelines.
Oversee the development and optimization of data pipelines, APIs, and integration layers to support complex AI use cases.
Drive the evaluation, fine-tuning, and operationalization of models using both open-source and enterprise-grade AI tools.
Collaborate cross-functionally to translate complex AI concepts into strategic business solutions and drive implementation.
What we’re looking for:
Experience: 4+ years of 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 containerisation 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 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 an 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.
Sydney NSW 2000
Benefits
Pulled from the full job description
Parental leave
Annual leave
Full job description
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 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:
Lead the design, building, and deployment of production-grade AI solutions, focusing on Generative AI, LLMs, RAG patterns, and sophisticated agentic workflows.
Architect cloud-native AI systems across AWS, Azure, GCP, ensuring cost-efficient scalability via LLMOps/DevOps pipelines.
Oversee the development and optimization of data pipelines, APIs, and integration layers to support complex AI use cases.
Drive the evaluation, fine-tuning, and operationalization of models using both open-source and enterprise-grade AI tools.
Collaborate cross-functionally to translate complex AI concepts into strategic business solutions and drive implementation.
What we’re looking for:
Experience: 4+ years of 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 containerisation 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 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 an 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.
💡 Quick Summary
Seeking a career-building opportunity? The AI Engineer | Manager | Data & AI position is now open for candidates interested in the Health Jobs sector. This role in Sydney offers a professional environment and growth potential.
Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Health Jobs is a plus.
