AI Engineer AI and Data

About EY-Parthenon

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profile Job Location:

Sydney - Australia

profile Monthly Salary: Not Disclosed
Posted on: 16 hours ago
Vacancies: 1 Vacancy

Job Summary

At EY were all in to shape your future with confidence.

Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

The opportunity

As our AI Engineer youll design and deploy AI/ML and Generative AI applications that transform business processes and deliver measurable impact for EY clients. Youll work on:

Your key responsibilities

  • LLM-powered solutions and agentic AI workflows
  • Data-driven architectures across cloud and on-prem environments
  • Scalable production-ready systems with Responsible AI compliance

Youll be part of our AI & Data team driving innovation and applying modern frameworks to deliver enterprise-grade AI solutions.

Skills and attributes for success

  • Strong foundation in AI/ML and Generative AI including experience with LLMs (OpenAI Anthropic Llama) prompt engineering and frameworks like LangChain.
  • Knowledge of Agentic Systems such as multi-agent orchestration tool/function calling and low-code platforms (e.g. n8n).
  • Familiarity with MLOps & LLMOps covering model lifecycle management MLflow or Weights & Biases telemetry and safe deployment practices.
  • Skills in Data Engineering including building data pipelines working with orchestration tools and managing vector databases (FAISS Pinecone) and relational/NoSQL systems.
  • Understanding of Cloud & Deployment including AWS Bedrock Azure AI Foundry or GCP Vertex AI; containerization (Docker/Kubernetes) CI/CD and infrastructure-as-code.

Ideally youll alsohave the skills and attributes below but dont worry if you dont tick all the boxes. Were interestedin your aptitude attitude and willingness to learn.

  • Awareness of Responsible AI & Security including ethical AI principles compliance frameworks and guardrails for sensitive use cases.
  • Proficiency in Programming especially advanced Python API development and solid software engineering practices; front-end exposure (React/TypeScript) is a bonus.
  • Curiosity and adaptability to learn emerging technologies and frameworks quickly.
  • Strong problem-solving mindset and ability to work collaboratively in dynamic environments.

What we offeryou

At EY well fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

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. Find out more about our vision for reconciliation at equity and inclusiveness (DE&I) are core to who we are how we work and how we live our values. 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. We understand sharing your needs with us can be daunting so if you have questions before or during your application we welcome you to get in touch at or(option 2). Anything you tell us will be kept completely confidential.

#LI-Hybrid

EY Building a better working world

Our preferred applicant will be required to undertake employment screening by EY or our external third-party provider.


Required Experience:

IC

At EY were all in to shape your future with confidence.Well help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.Join EY and help to build a better working world.The opportunityAs our AI Engineer youll design and deploy AI/ML and Genera...
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Key Skills

  • Apache Hive
  • S3
  • Hadoop
  • Redshift
  • Spark
  • AWS
  • Apache Pig
  • NoSQL
  • Big Data
  • Data Warehouse
  • Kafka
  • Scala

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