FS Technology Consulting – AI and Data – Forward Deployed AI Engineer - Manager - Dublin
Location: Dublin 2
Date: Jul 13, 2026
Requisition ID: 1726066
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General Information
Location: Dublin
Available for VISA Sponsorship: Yes
Business Area: Data & Analytics
Contract Type: Full Time - Permanent
The opportunity
This is your chance to lead the future of AI at EY Ireland for Financial Services. As a hands‑on architect and team lead, you will shape enterprise‑grade GenAI solutions and multi‑agent orchestration strategies. You will work with cutting‑edge technologies and collaborate across diverse teams to deliver impactful, scalable AI systems. This role offers the opportunity to influence EY’s AI strategy and build solutions that align with global standards and regulatory frameworks.
This role blends deep hands‑on engineering, consulting judgment, and client‑facing delivery ownership. You will carry solutions from concept through production and enable clients to sustainably operate and evolve their AI capabilities.
Your Key Responsibilities
- Collaborate 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.
- Coach and counsel junior members, sharing best practices, industry trends, and technical knowledge to foster professional growth and development.
Skills and Attributes for Success
- Hands‑on Team Lead/Architect: define technical standards, code daily, ensure compliance and safe MVP delivery.
- Experience: 5+ years across ML and AI systems design; proven delivery in enterprise environments.
- 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, and 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.
- Deliverables: enterprise‑grade GenAI and multi‑agent orchestration; vendor/LLM selection and portfolio strategy; coding/CI/CD/documentation standards; storage and retrieval, knowledge architectures including RAG, agent perception layers.
- Strong interpersonal and communication skills.
AI Skills
- Comprehensive AI across NLP, Computer Vision, Document Intelligence, Time Series, and multimodal GenAI.
- Experience with PyTorch/TensorFlow and Hugging Face; integration of ML into enterprise pipelines.
- Design of organization‑level evaluation and scoring frameworks (text, vision, multimodal) with release gates (R/A/G).
- Governance: alignment to EU AI Act; model/prompt/data versioning; audit logs; risk management.
- LLM strategy: evaluate and standardize across providers (OpenAI, Anthropic, Google Gemini, Mistral, Llama) and vector platforms (Pinecone, Weaviate, Milvus).
- Cloud: multi‑cloud and hybrid architecture across AWS, Azure, and GCP; reliability/SLOs; cost/tokens governance.
- LLMOps/MLOps: automated testing, drift monitoring, safety/guardrails, CI/CD for ML, telemetry, lineage, and governance.
Ideally, you will also have
- Experience in Financial Services is preferred.
- 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 are looking for innovative thinkers who are passionate about AI and eager to make a difference. You will thrive in a collaborative environment, bring a purpose‑driven mindset, and embrace inclusivity.
What working at EY offers
We offer a competitive remuneration package. Our comprehensive Total Rewards package includes support for flexible working and career development.
- Support and coaching from engaging colleagues.
- Opportunities to develop new skills and progress your career.
- The freedom and flexibility to handle your role in a way that is right for you.
Benefits
- Pension
- Discounted Health Insurance
- Web Doctor – Free unlimited online GP Consultations for you and your family
- 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
About EY
As a global leader in assurance, tax, transaction, and advisory services, EY is using finance products, expertise, and systems to build a better working world.
Inclusion & Diversity
We hold a commitment to foster an environment where all differences are valued and respected. Inclusion, diversity, and equity are part of who we are at EY. We welcome applications from people of all backgrounds and offer reasonable accommodations at every stage of our recruitment process.
Are you ready to shape your future with confidence? Apply today.
If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.
EY | Building a better working world