At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Business Area: EY AI & Data – AI Delivery Lead (Senior Manager & Manager)

Contract Type: Full-Time – Permanent

EY exists to build a better working world, we empower our people by offering the culture, tech, teams, scale, challenges, learning, and the relationships for you to personalise and build your career, helping to create long-term value for clients, people and society and build trust in the capital markets.

This role can be located in our offices across the Republic of Ireland, working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.

 
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 Foward 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, 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) (5+ M) 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, Llama Index, FastAPI)

Previous work in a forward deployed, field engineering, or technical account management role

Domain expertise in verticals like finance, healthcare, government, or manufacturing

What working at EY offers

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

EY is committed to being an inclusive employer and we are happy to consider flexible working arrangements. We strive to achieve the right balance for our people, enabling us to deliver excellent client service whilst allowing you to build your career without sacrificing your personal priorities. While our client-facing professionals can be required to travel regularly, and at times be based at client sites, our flexible working arrangements can help you to achieve a lifestyle balance.

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.

About EY

As a global leader in assurance, tax, transaction, and advisory services, we’re using the finance products, expertise, and systems we’ve developed to build a better working world. That starts with a culture that believes in giving you the training, opportunities, and creative freedom to make things better. Whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

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.

We recognise the strength that comes from having a diverse workforce and building a culture where we support all our people to achieve their potential. You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

As an equal opportunities’ employer, we welcome applications from people of all backgrounds. Reasonable accommodations are offered at every stage of our recruitment process.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in building a better working world. That’s Why, EY.

Apply now.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

AI & Data - AI Delivery Lead (Senior Manager & Manager)

Benefits

Job Description