Ai & data - ai delivery lead (senior manager & manager)

AI & Data - AI Delivery Lead (Senior Manager & Manager)
Location: Dublin 2
Other locations: Primary Location Only
Requisition ID: 1716694
Business Area: EY AI & Data – AI Delivery Lead (Senior Manager & Manager)
Contract Type: Full‑Time – Permanent
The Team and the opportunity
As part of our AI & Data team, this role is pivotal in enabling our clients to derive significant value from AI. Through collaboration and domain expertise, our team embeds innovative AI & Data solutions into existing business areas, transforming data into strategic assets. We are looking for a Forward Deployed AI Engineer who is passionate about leveraging AI & data to solve complex problems and drive business outcomes.
As a Forward Deployed AI Engineer at EY, you will be a client‑embedded technical leader responsible for translating AI ambition into trusted, enterprise‑grade solutions. You will work closely with EY Partners, engagement teams, and senior client stakeholders to design, build, and deploy AI systems that operate effectively within complex, regulated, and large‑scale environments.
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

Turn ambiguous business problems into concrete AI solutions by partnering with clients to understand workflows, constraints, success metrics, and incentives
Translate business challenges into well‑scoped AI use cases (e.g., prediction, automation, retrieval, agent workflows)
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
Design and implement AI architectures, including data ingestion, feature pipelines, embeddings, vector stores, model selection, tuning, and evaluation. Prompt design, guardrails, and system instructions.
Integrate AI components with existing client systems (APIs, data warehouses, SaaS platforms). Optimize for latency, cost, reliability, and scalability
Deploy solutions into client infrastructure (cloud, hybrid, on‑prem), navigating real‑world constraints such as security, compliance, data residency, legacy systems
Set up monitoring for model performance and drift, prompt failures, hallucinations, and regressions
Provide technical training and knowledge transfer to client teams
Capture reusable patterns, architectures, and accelerators
Contribute to internal playbooks and reference implementations
Share lessons learned across engagements
Support pre‑sales with technical credibility and demos
Stay current on fast‑moving AI tooling and model capabilities

To qualify for the role, you must have.

7+ years for Senior Manager and 5+ years for Manager of AI/ML engineering experience with strong fundamentals in data structures, algorithms, and system design with Python in production environments
Deep applied AI/ML mastery: NLP/transformers, generative models (GANs/VAEs), reinforcement learning, classical ML and statistical modelling
Advanced LLM/RAG engineering: prompt pipelines, embeddings, vector stores (FAISS/Milvus/Pinecone), hybrid retrieval, grounding, hallucination mitigation and evaluation frameworks
LLMOps/MLOps: automated testing, drift monitoring, safety/guardrails, CI/CD for ML, telemetry, lineage and governance
7+ SM (Senior Manager) / 5+ M (Manager) years of experience with cloud platforms (Azure‑preferred, GCP, or AWS) and modern data infrastructure
Experience with containerization and CI/CD pipelines
Proven ability to work with clients in a technical consulting, solutions engineering, or product engineering role
Strong problem‑solving skills with the ability to navigate ambiguous requirements and rapidly iterate toward solutions
Excellent communication skills with the ability to explain complex technical concepts to both technical and non‑technical audiences
Background in machine learning, with hands‑on experience training or fine‑tuning models
Relevant experience in consulting or industry with significant management experience
Familiarity with enterprise security, compliance, and governance requirements (SOC 2, GDPR, HIPAA)
Demonstrated ability to lead multi‑disciplinary teams (engineering, data science, architecture, product, design) through complex delivery cycles

Preferred Skills

Experience building and deploying AI agents or autonomous systems in production
Experience in using modern Python AI stack (e.g., LangChain, LangGraph, LlamaIndex, FastAPI)
Previous work in a forward deployed, field engineering, or technical account management role
Domain expertise in verticals like finance, healthcare, government, or manufacturing

Benefits

Competitive remuneration package
Support and coaching from engaging colleagues
Opportunities to develop new skills and progress your career
Freedom and flexibility to handle your role in a way that’s right for you
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
Additional annual leave purchase
Cash incentives for referrals
Hybrid working
Free gym membership
TECH MBA paid by EY
Travel pass
Wellness rooms available in some offices

Inclusion & Diversity
We hold a collective commitment to foster an environment where all differences are valued and respected, practices are equitable, and everyone experiences a sense of belonging. Inclusion, diversity, and equity are part of who we are at EY. We believe that the highest‑performing teams maximize the power of different perspectives and backgrounds. These teams are both diverse and inclusive and are willing to invite and learn from other perspectives. Our ability to include various viewpoints into our mindsets, behaviours, and operations is fundamental to driving innovation, building strong relationships, and delivering the best solutions for our clients.
As an equal opportunities employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.
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