AI & Data - Forward Deployed AI Engineer (Senior Manager & Manager)

Location

Dublin 2 (Primary Location Only)

Requisition ID:

Business Area

EY AI & Data - Forward Deployed AI Engineer (Senior Manager & Manager)

Contract Type

Full Time - Permanent

Role Overview

The Forward Deployed AI Engineer will act as a client embedded technical leader, translating AI ambition into trusted, enterprise grade solutions. You will partner with EY Partners and client stakeholders to design, build, and deploy AI systems that operate effectively within complex, regulated, and large scale environments. This position blends deep hands on engineering, consulting judgment, and client facing delivery ownership, carrying solutions from concept through production and enabling clients to sustain 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, and legacy systems.
• Set up monitoring for model performance, 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 (Senior Manager) or 5+ years (Manager) of AI/ML engineering experience with strong fundamentals in data structures, algorithms, and system design using 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 (SM) or 5+ years (M) 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 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

• Pension
• Maternity & Paternity leave
• Discounted health insurance
• Bike to work scheme
• Free online GP consultations (WebDoctor)
• Recognition awards
• Additional annual leave purchase
• Cash incentives for referrals
• Hybrid working flexibility
• Free gym membership
• TECH MBA paid by EY
• Travel pass
• Wellness rooms (available in some offices)

Equal Opportunity Employer

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