# EY — AI & Data - Agentic AI Engineer - Senior Consultant

| Field | Value |
|---|---|
| **Date found** | 2026-05-21 |
| **Company** | EY |
| **Role** | AI & Data - Agentic AI Engineer - Senior Consultant |
| **Location** | Dublin / Cork / Limerick / Galway / Waterford, Hybrid |
| **Salary** | Undisclosed |
| **Job URL** | [LinkedIn](https://www.linkedin.com/jobs/view/4405120662/) |
| **Status** | New |

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## Company Research

| Field | Value |
|---|---|
| **Headquarters** | London, United Kingdom (global HQ) |
| **Founded** | 1989 (Ernst & Young roots to 1849) |
| **Employees** | 400,000+ globally (402,469 on LinkedIn) |
| **LinkedIn** | [company/ernstandyoung](https://www.linkedin.com/company/ernstandyoung/) — 11.5M followers |
| **Website** | [ey.com](https://www.ey.com) |
| **Blog** | [ey.com/en_gl/insights](https://www.ey.com/en_gl/insights) |

- **Product:** Global professional services across assurance, consulting, tax, and strategy; AI practice builds GenAI and agentic enterprise solutions for Fortune 500 clients
- **Customers:** Large enterprises and governments across 150+ countries in financial services, healthcare, energy, and technology sectors
- **Notable:** Big Four firm with 400k+ employees; EY Ireland UKI Data & AI practice is actively building out agentic AI capability; no visa sponsorship available

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## Job Summary

**What they do:** Big Four professional services firm building enterprise-grade GenAI and agentic AI systems for large corporate and government clients through the UKI Data & AI practice.

**The role:** Senior Consultant IC architect on the EY Ireland Data & AI team, designing and deploying end-to-end agentic solutions with ownership of subsystems.

**Core work:**
- Build enterprise-scale multi-agent systems and AI platforms (ReAct, Self-Ask, memory-enabled RAG, multi-agent orchestration)
- Implement AI guardrails, safety layers, and evaluation pipelines; deploy LLMs from Anthropic, OpenAI, Gemini on cloud infrastructure
- Mentor junior engineers; contribute to EY's internal AI engineering standards and prompt engineering best practices

**Stack:** Python · Java · FastAPI · LangChain · MCP · PyTorch · HuggingFace · Pinecone · Weaviate · AWS · Azure · GCP · Docker · Kubernetes · Airflow · LangSmith

**Work style:** Hybrid — Dublin, Cork, Limerick, Galway, or Waterford office (EY typically 2–3 days/week in office); client travel may be required

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## Score: 63%

| Dimension | Score | Justification |
|---|---|---|
| Agentic AI depth (25%) | 85% | Multi-agent orchestration, MCP, ReAct/Self-Ask patterns, RAG, Anthropic APIs — genuinely agentic scope |
| Tech fit (25%) | 80% | Python, MCP, Anthropic Claude, HuggingFace, PyTorch, vector DBs, FastAPI — excellent stack match |
| Remote fit (25%) | 40% | Hybrid Ireland; EY typically 2–3 days/week in office; client work may require site travel |
| Company culture fit (15%) | 30% | Big Four firm — heavy process, billable hours, compliance-driven culture; large bureaucratic environment |
| IC/leadership balance (10%) | 75% | IC architect "designs, codes, deploys, owns subsystems end-to-end"; mentors juniors; no people management |
| **Final (weighted)** | **63%** | Best tech/agentic match in this batch, heavily penalised by corporate culture and hybrid risk |

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## Strengths

- Outstanding tech stack match: MCP, Anthropic, HuggingFace, PyTorch, vector DBs, multi-agent patterns all explicitly required
- Agentic AI is the core focus of the role, not a bolt-on
- Multiple Ireland office locations — choice of Dublin as base
- Senior Consultant IC framing with clear architecture ownership ("owns subsystems end-to-end")

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## Weaknesses & Risks

- EY is a Big Four firm — billable hours culture, heavy process and compliance, significant corporate bureaucracy
- Salary undisclosed; EY Senior Consultant base in Ireland typically €70–90k — likely below €110k floor; must verify immediately
- Hybrid frequency at EY typically 2–3 days/week in office; client-facing work may add further travel
- Role is consulting delivery (building for clients), not building a product — slower iteration, more meetings

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## Suggestions

- Ask about salary range at the first call — Big Four compensation is typically below startup benchmarks
- Clarify hybrid days per week and client travel expectations before investing time
- Emphasise production-grade agentic system experience (Fenergo document parser) and AI guardrails work
- Frame depth in Anthropic/Claude APIs and MCP as a differentiator — both explicitly listed as required

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## Interview Tracker

| Stage | Date | Notes |
|---|---|---|
| Applied | | |
| Recruiter screen | | |
| Technical interview | | |
| Final round | | |
| Offer / Outcome | | |