AI & Data - Forward Deployed AI Engineer, Manager

Ernst & Young Advisory Services Sdn Bhd; Dublin; On-site; EUR 120,000 - 170,000; Full time

Benefits offered by this job

Pension

Maternity & Paternity leave

Discounted health insurance

Hybrid Working

Free Gym membership

TECH MBA paid by EY

Travel Pass

Wellness rooms

Job summary

EY is seeking a Forward Deployed AI Engineer, Manager level, to embed AI & Data solutions for clients across Ireland. You will translate AI ambitions into enterprise‑grade systems, collaborating with EY Partners, engagement teams, and senior client stakeholders to design, build, and deploy AI systems in regulated, large‑scale environments.

You will lead hands‑on engineering, consulting judgment, and client delivery, carrying solutions from concept through production while enabling clients to

Qualifications

• 5+ years 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.
• 5+ 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.

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

Skills

Python

Data structures

Algorithms

System design

NLP/Transformers

LLMOps/MLOps

Cloud platforms

CI/CD for ML

Tools

FAISS

Milvus

Pinecone

LangChain

LangGraph

LlamaIndex

FastAPI

Job description

Location: Dublin 2

Other locations: Primary Location Only

Date: Jul 8, 2026

Requisition ID: 1716694

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

AI & Data - Forward Deployed AI Engineer, 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 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, 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

• 5+ years of experience 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.
• 5+ 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

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
• 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.

• 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.

Apply now

Apply now.

Join us in building a better working world.

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.

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EY refers to the global organization, and may refer to one or more, of the member firms of Ernst & Young Global Limited, each of which is a separate legal entity. Ernst & Young Global Limited, a UK company limited by grant, does not provide services to clients.