AI & Data - AI Lab: AI Engineer - Agentic & Generative Intelligence - Senior/Assistant Manager

Ernst & Young Advisory Services Sdn Bhd

Dublin

On-site

EUR 70,000 - 90,000

Full time

14 days+

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Benefits offered by this job

Pension
Discounted health insurance
Free gym membership
Hybrid working

Job summary

Ernst & Young Advisory Services Sdn Bhd is looking for a skilled AI Engineer to join their AI Lab. This role focuses on developing advanced AI solutions and collaborating with experts to deliver transformative solutions. The position requires expertise in machine learning and Python, with opportunities for growth and a tailored benefits package.

Benefits include a pension plan, discounted health insurance, and the chance to work in a hybrid environment.

Qualifications

  • 3–5+ years’ experience in machine learning or AI engineering.
  • Expertise in Python and ML libraries like scikit-learn, PyTorch/TensorFlow.
  • Practical experience deploying AI services on Azure, AWS or GCP.

Responsibilities

  • Develop LLM‑driven solutions using Azure OpenAI and Hugging Face Transformers.
  • Collaborate with data engineers and developers to embed models into applications.
  • Prototype multi‑agent systems for business tasks automation.

Skills

Machine learning
AI engineering
Python
Azure
Transformers

Tools

MLflow
Docker
CI/CD

Job description

AI & Data - AI Lab: AI Engineer - Agentic & Generative Intelligence - Senior/Assistant Manager

Location: Dublin 2

Other locations: Primary Location Only

Requisition ID: 1717267

Location: Ireland - Dublin

Available for Work Visa Sponsorship: No

Business Area: AI & Data

Join EY’s AI Lab, part of our innovation hub for EY Ireland. The AI Lab is where cutting‑edge ideas meet real‑world impact. We focus on developing advanced AI solutions, experimenting with emerging technologies, and creating prototypes that push the boundaries of what’s possible.

As part of this team, you’ll:

  • Collaborate with experts in data science, machine learning, and engineering to design and deliver transformative AI solutions.
  • Work on pioneering projects that explore generative AI, predictive analytics, and intelligent automation.
  • Shape the future of business by turning research into scalable solutions for global clients.
  • Innovate in a dynamic environment, where creativity and experimentation are encouraged.
Your Key Responsibilities
  • Develop LLM‑driven solutions using Azure OpenAI, LangChain/LangGraph and Hugging Face Transformers.
  • Design RAG and prompt‑orchestration pipelines, embeddings and model evaluation frameworks.
  • Collaborate with data engineers and full‑stack developers to embed models into cloud applications.
  • Prototype multi‑agent systems that autonomously analyse, decide and act on business tasks.
  • Ensure AI governance, fairness and responsible AI principles are embedded in every solution.
To qualify for the role, you must have
  • 3–5+ years’ experience in machine learning or AI engineering.
  • Expertise in Python and ML libraries (scikit‑learn, PyTorch/TensorFlow, Transformers).
  • Experience with LLMs, embeddings, RAG pipelines and prompt engineering.
  • Practical experience deploying AI services on Azure, AWS or GCP and working with MLOps tools (MLflow, Docker, CI/CD).
Ideally, you will also have
  • Experience with LangGraph, CrewAI or AutoGen for multi‑agent workflows.
  • Understanding of reinforcement learning and autonomous decision systems.
  • Familiarity with Power Automate integration and AI workflow triggers.
What working at EY offers
  • Support and coaching from some of the most engaging colleagues.
  • Opportunities to develop new skills and progress your career.
  • The freedom and flexibility to handle your role in a way that’s right for you.

All our employees are given a benefits package which they can tailor to suit their individual preferences. Our range of benefits includes:

  • Pension
  • Discounted health insurance
  • Web Doctor – free unlimited online GP consultations for you and your family
  • The purchase of additional annual leave
  • Hybrid working
  • Free gym membership
  • Travel Pass
  • Maternity & Paternity leave
  • Bike to work scheme
  • Recognition awards
  • Cash incentives for referrals
  • TECH MBA paid by EY
  • Wellness rooms available in some offices
Inclusion & Diversity

We hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable and everyone experiences a sense of belonging. Inclusion, diversity and equity are part of who we are at EY.

As an equal opportunities’ employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.

EY | Building a better working world
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