EY AI & Data - Agentic Engineer Senior Consultant 

Ireland 

966586232

Dublin / Cork / Limerick / Galway / Waterford

Available for Work Visa Sponsorship:

UKI Data & AI

Contract Type:Full-Time – Permanent

General Requirements

• Independent Developer/Architect. Designs, codes, and deploys advanced GenAI/Agentic systems; owns subsystems end‑to‑end; establishes best practices at the project level; mentors juniors.
• Experience: 2-3+ years software engineering, with 2+ years focused on AI/ML.
• Academic Credentials: Beng/BSc or MSc in Computer Science, AI/ML, or related field (or equivalent experience with proven delivery).
• Expected Deliverables (not exhaustive): Enterprise-scale agent platforms and multi-agent systems; AI guardrails/safety layers; fault‑tolerant distributed services; caching/performance optimizations; evaluation pipelines; advanced prompt optimization; documented architectures.
• Core Skills: Python and/or Java, FastAPI, Docker/Kubernetes; CI/CD (GitHub); IaC (Terraform/Pulumi); workflows (Airflow/Prefect); logging/monitoring (LangSmith, MLflow).
• Patterns: ReAct, Self‑Ask, memory‑enabled RAG, multi‑agent orchestration.
• Strong interpersonal and communication skills.

Machine Learning / AI Skills

• Applied ML (deep learning, NLP, embeddings); fine‑tuning on domain data with PyTorch/TensorFlow and Hugging Face.
• Advanced prompt engineering (few‑shot, in‑context learning, dynamic prompt optimization).
• Experience with Model Context Protocol (MCP) is highly valuable.
• AI guardrails and safety (bias detection, jailbreak/hallucination mitigation, responsible AI).
• Vector databases and similarity search optimization (Pinecone, Weaviate, Milvus, FAISS).
• LLM Providers/APIs: OpenAI, Anthropic, Google Gemini; also Mistral/Llama via Hugging Face.
• Cloud: hands‑on deployment on AWS, Azure, and/or GCP; production Kubernetes; cost/performance tuning.

Ideally, You’ll also have

• MSc or PhD in a relevant field, or equivalent senior industry experience.
• Experience in designing evaluation frameworks and release gates for AI models.
• Knowledge of vector platforms like Pinecone, Weaviate, and Milvus.

What we look for

We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development, and with FlexEY you can select benefits that suit your needs, covering holidays, health and well-being, insurance, savings and a wide range of discounts, offers and promotions. Plus, we offer:
• Support and coaching from some of the most engaging colleagues around
• 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 include:
• Pension
• Maternity & Paternity leave
• Discounted health insurance
• Bike to work Scheme
• Web Doctor - Free unlimited online GP consultations for you and your family
• Recognition Awards
• The purchase of additional annual leave
• Cash incentives for referrals
• Hybrid Working
• Work Mobile
• Free Gym membership
• TECH MBA paid by EY
• Travel Pass
• Wellness rooms Available in some offices

Career Progression

• When you join EY, you will be supported to ensure that you are enhancing your skills from day one.
• Continuous learning, where you can develop the mindset and skills to navigate whatever comes next.
• As you grow and develop here, you’ll discover opportunities to help customise your career journey, so that it’s as unique as you are - success is defined by you, we will provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership, we will give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture, you will be embraced for who you are and empowered to use your voice to help others find theirs.
• We have embraced Hybrid working at EY adding greater flexibility and autonomy to the roles of our employees.