Location:  Dublin 2

Other locations:  Primary Location Only

Salary: Competitive

Requisition ID:  1726066

At EY, we’re all in to shape your future with confidence. 

We’ll 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.

Your Key Responsibilities:

  • Collaborating with diverse teams on varying skillsets, who use AI & Data technologies.
  • Partner with clients to uncover strategic impact and opportunities for AI-driven transformation. Communicate insights clearly and help clients adopt AI successfully.
  • Translate business requirements into scalable technical solutions using modern AI frameworks and cloud-native technologies.
  • Build and deploy AI solutions including gen-AI & Agentic AI patterns & techniques to create strategic client value. Develop LLM-powered applications with sophisticated reasoning capabilities.
  • Create RAG systems with effective vector retrieval, context management, and response generation. Build agentic AI workflows that can perform multi-step tasks with appropriate tool use.
  • Ensure ethical AI practices, data privacy, and responsible deployment of AI and automation solutions.
  • Collaborate with stakeholders across product, data science, and infrastructure to align architectural decisions with strategic goals.
  • As an influential member of the team, you will create a positive learning culture and will coach and counsel junior members of the team sharing best practices, industry trends, and technical knowledge to foster professional growth and development.

To qualify for the role, you must have:

  • Hands‑on Team Lead/Architect. Defines technical standards, codes daily, ensures compliance and safe MVP delivery.
  • Experience: 5+ years across ML and AI systems design; proven delivery in enterprise
  • Academic Credentials: Industry experience acceptable with enterprise‑scale delivery.
  • Define MVP scope, data requirements, and evaluation criteria jointly with stakeholders.
  • Build fast prototypes using – LLMs, RAG pipelines, fine-tuning, agents, traditional ML models where appropriate.
  • Experience deploying solutions into client infrastructure (cloud, hybrid, on-prem), navigating real-world constraints such as security, compliance, data residency, legacy systems.
  • Expected Deliverables (indicative): Enterprise‑grade GenAI and multi‑agent orchestration; vendor/LLM selection and portfolio strategy (OpenAI, Anthropic, Gemini, Mistral, Llama, Hugging Face), established coding/CI/CD/documentation standards, storage and retrieval, knowledge architectures incl. RAG, agent perception layers.
  • Core Skills: Python, Docker/Kubernetes/ECS at scale; event‑driven (Kafka/RabbitMQ).
  • Patterns: Tree‑of‑Thought, multi‑agent orchestration, debate/deliberation agents; RLHF/RLAIF strategy awareness.
  • Possess strong interpersonal and communication skills.

Learn more & apply