AI & Data - Forward Deployed AI Engineer, Manager

EY; Dublin; On-site; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Pension

Flexible working options

Discounted health insurance

Hybrid Working

Free Gym membership

Cash incentives for referrals

Job summary

EY is seeking a Forward Deployed AI Engineer for their Dublin office. As a Senior Manager, you will play a pivotal role within the AI & Data team to deliver transformative AI solutions. Key responsibilities include designing and deploying AI systems that cater to clients' complex needs, optimizing AI integrations, and mentoring client teams.

The ideal candidate should have extensive experience in AI/ML engineering and demonstrate strong problem-solving and communication skills, enabling them to work effectively with both technical and non-technical stakeholders. EY offers a dynamic environment focused on professional growth and development.

Qualifications

• Minimum of 7+ years of AI/ML engineering experience required for Senior Manager role.
• Experience with Python in production environments is necessary.
• Deep knowledge in NLP/transformers, generative models, and classical ML.
• Hands-on experience with model training or fine-tuning is essential.
• Experience in consulting or significant management experience is preferred.

Responsibilities

• Partner with clients to translate business challenges into AI solutions.
• Design and implement AI architectures including data ingestion and model selection.
• Integrate AI components with existing client systems and optimize them.
• Monitor model performance and provide technical training to clients.
• Contribute to internal playbooks, reference implementations, and support pre-sales.

Skills

AI/ML engineering experience

Deep applied AI/ML mastery

Advanced LLM/RAG engineering

LLMOps/MLOps

Experience with cloud platforms

Containerization and CI/CD pipelines

Client-facing delivery

Strong problem-solving skills

Excellent communication skills

Background in machine learning

Leadership experience

Familiarity with enterprise security

Education

Bachelor’s degree in relevant field

Tools

Python

Cloud platforms (Azure, GCP, AWS)

Job description

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

Business Area: EY AI & Data – Forward Deployed AI Engineer (Senior Manager & Manager)

Contract Type

Contract Type: Full-Time – Permanent

Location

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.

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

Qualifications

• 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+ years (Senior Manager) / 5+ years (Manager) 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

Benefits

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.

• 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)

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.

Employment Equality Statement

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