Client-Facing 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

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