Requisition ID: 1687976
AI Engineer – AI GTM Engine Room
The Opportunity
Join EY's AI GTM Engine Room, a high‐velocity build capability at the centre of our Oceania AI growth strategy. As an AI Engineer you will contribute to the experimentation, prototyping and deployment of advanced AI and Generative AI solutions that support client pursuits, industry demonstrations and scalable sector offerings. You will work with leading foundation models and orchestration frameworks to translate emerging capabilities into commercial, viable solutions within secure enterprise guardrails.
Your Key Responsibilities
* Contribute to the prototyping and deployment of AI and Generative AI solutions to support client pursuits, sector use cases and demonstrations.
* Develop and test LLM‐powered applications and agentic workflows under guidance, including tool or function‐calling patterns.
* Support engineering of data‐driven architectures across cloud and on‐premises environments.
* Assist in developing scalable AI systems with embedded Responsible AI and security controls.
* Apply MLOps and LLMOps practices including experimentation tracking, model testing and deployment support.
* Build and maintain data pipelines integrating structured and unstructured data sources.
* Work with vector databases alongside relational and NoSQL systems.
* Support deployment of AI workloads using platforms such as AWS and Azure.
* Collaborate with architects, sector teams and engineers to transition proof‐of‐concepts toward production‐ready solutions.
Required Skills and Attributes
* Foundational knowledge of AI, machine learning and Generative AI, with hands‐on exposure to LLMs such as OpenAI, Anthropic or Llama.
* Experience with prompt engineering and orchestration frameworks such as LangChain or similar tooling.
* Understanding of agentic systems and workflow automation concepts.
* Exposure to MLOps or LLMOps practices.
* Strong Python programming capability and API development fundamentals.
* Familiarity with modern data stores and vector databases.
* Cloud platform exposure across AWS, Azure or GCP.
* Awareness of Responsible AI principles and security considerations.
* Strong curiosity, learning agility and problem‐solving mindset.
Desired Optional Skills
* Experience contributing to AI proofs‐of‐concept or internal accelerators.
* Exposure to evaluation frameworks or structured experimentation environments.
* A degree in computer science, engineering, data science or a related discipline.
What We Offer You
* Flexible work arrangements that empower you to balance professional and personal life.
* A comprehensive benefits package including a yearly wellness incentive, additional 8 weeks of flex leave per year, and up to 26 weeks of gender‐neutral paid parental leave.
* A competitive salary open to negotiation, depending on skills and experience.
Acknowledgement of Country
EY acknowledges the Traditional Owners and Custodians of the lands on which EY offices are located around Australia. We pay our respects to their cultures, and to their Elders — past, present, and emerging. Learn more about our vision for reconciliation at ey.com/en_au/careers/indigenous
Equal Employment Opportunity Statement
Inclusiveness is core to who we are and how we work together, driving value for our people and for our business. We encourage applications from people of all ages, nationalities, abilities, cultures, sexual orientations, and gender identities and are committed to providing an equitable and barrier‐free recruitment experience for all. We encourage you to share any support and adjustments you need to be your best and participate equitably in our recruitment process.
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