UKI Technology Consulting - AI & Data - Applied AI Delivery Architect, Senior Manager
Ernst and Young26 days ago
Dublin, IrelandStaff+
Responsibilities
- Advise EY Partners and senior client stakeholders on AI strategies, target architectures, risk appetite, and regulatory requirements.
- Own end-to-end AI solution architectures covering GenAI platforms, RAG, agents, copilots, ML platforms, model lifecycle management, data, integration, and APIs.
- Design secure, resilient, auditable, compliant AI architectures that work within enterprise governance and legacy constraints.
- Provide senior technical oversight through delivery, escalation, production stabilization, and transition from proof of value to scaled production.
- Implement responsible AI, governance frameworks, model risk controls, and human oversight with Risk, Legal, and Compliance teams.
- Support regulatory discussions, board and auditor scrutiny, client pursuits, proposals, go-to-market activities, and thought leadership.
- Lead multidisciplinary teams and establish engineering best practices, coding standards, architectural patterns, accelerators, and reference architectures.
- Mentor technical teams and contribute reusable AI patterns, capabilities, and lessons learned across engagements.
Requirements
- At least 7 years of experience in enterprise technology, architecture, or AI engineering roles.
- Proven experience delivering AI/ML or GenAI solutions in production environments.
- Advanced LLM and RAG engineering experience, including prompt pipelines, embeddings, vector stores, hybrid retrieval, grounding, hallucination mitigation, and evaluation frameworks.
- Strong hands-on experience with LLMs, prompt engineering, RAG architectures, AI orchestration, machine learning pipelines, and model lifecycle management.
- Experience with data platforms, APIs, distributed systems, and architecture on at least one major cloud platform; Azure is preferred and AWS and GCP are also accepted.
- Experience in consulting, advisory, or large-enterprise delivery environments and demonstrated success engaging senior client stakeholders.
- Ability to lead multidisciplinary teams across engineering, data science, architecture, product, and design through complex delivery cycles.
- Preferred experience in regulated industries, AI governance and model risk management, Big Four or global consulting, AI platforms or internal developer ecosystems, and technical discovery of technology and hardware infrastructure requirements.
Benefits
- Full-time permanent employment in Dublin with hybrid and flexible working arrangements; client-facing work may require regular travel or time at client sites.
- Flexible benefits package including pension, discounted health insurance, online GP consultations, additional annual leave purchase, gym membership, travel pass, maternity and paternity leave, bike-to-work scheme, recognition awards, referral incentives, and wellness rooms in some offices.
- Career development, coaching, continuous learning, leadership development, and opportunities to progress and customize the career journey.
- EY provides a Tech MBA, mobile phone, flexible working support, and inclusive workplace accommodations.
Tech Stack
Categories
Solutions Engineering
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.