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Ernst & Young

Global professional services: audit, tax, consulting

FS Technology Consulting - AI and Data, Forward Deployed AI Engineer, Manager, Dublin

AI Application EngineeringUpdated on Nov 14
Full-timeDublin, IrelandNo salary listed

About the Job

Requirements

  • At least 5 years of experience across machine learning and AI systems design, with proven enterprise-scale delivery.
  • Define technical standards, code daily, ensure compliance, and deliver minimum viable products safely as a hands-on team lead or architect.
  • Define minimum viable product scope, data requirements, and evaluation criteria jointly with stakeholders.
  • Build prototypes using large language models, retrieval-augmented generation pipelines, fine-tuning, agents, and traditional machine learning models where appropriate.
  • Deploy solutions into client infrastructure, including cloud, hybrid, and on-premises environments, navigating security, compliance, data residency, and legacy-system constraints.
  • Use Python, Docker, Kubernetes or ECS at scale, and event-driven technologies such as Kafka or RabbitMQ.
  • Apply Tree-of-Thought, multi-agent orchestration, debate/deliberation agent patterns, and strategy awareness for reinforcement learning from human feedback and reinforcement learning from AI feedback.
  • Apply AI across natural language processing, computer vision, document intelligence, time series, and multimodal generative AI.
  • Use PyTorch or TensorFlow and Hugging Face, and integrate machine learning into enterprise pipelines.
  • Design organization-level evaluation and scoring frameworks for text, vision, and multimodal models, with release gates.
  • Align governance with the EU AI Act, including model, prompt, and data versioning, audit logs, and risk management.
  • Evaluate and standardize large language models across providers and vector platforms.
  • Design multi-cloud and hybrid architecture across AWS, Azure, and Google Cloud Platform, with reliability objectives and cost and token governance.
  • Implement large language model operations and machine learning operations, including automated testing, drift monitoring, safety and guardrails, machine-learning continuous integration and delivery, telemetry, lineage, and governance.
  • Possess strong interpersonal and communication skills.

Responsibilities

  • Collaborate with teams with varied skill sets who use AI and data technologies.
  • Partner with clients to identify strategic impact and opportunities for AI-driven transformation, communicate insights, and support successful AI adoption.
  • Translate business requirements into scalable technical solutions using modern AI frameworks and cloud-native technologies.
  • Build and deploy generative AI and agentic AI solutions, including large-language-model-powered applications with reasoning capabilities.
  • Create retrieval-augmented generation systems with vector retrieval, context management, and response generation; build agentic workflows that perform multi-step tasks using appropriate tools.
  • Ensure ethical AI practices, data privacy, and responsible deployment of AI and automation solutions.
  • Collaborate with product, data science, and infrastructure stakeholders to align architectural decisions with strategic goals.
  • Coach and counsel junior team members, sharing best practices, industry trends, and technical knowledge to support their professional development.

Desired Qualifications

  • Experience in Financial Services.
  • A Master of Science or PhD in a relevant field, or equivalent senior industry experience.
  • Experience designing evaluation frameworks and release gates for AI models.
  • Knowledge of vector platforms such as Pinecone, Weaviate, and Milvus.

About the Company

Ernst & Young

Global professional services: audit, tax, consulting

EY provides professional services across Assurance, Tax, Consulting, and Strategy & Transactions through member firms coordinated by EY Global. It serves clients in about 150 countries with cross-disciplinary teams delivering audits, tax planning, technology, risk management, and M&A and strategy advisory. Its global, integrated platform and large network differentiate it by offering coordinated services across disciplines. The goal is to help clients meet regulatory requirements, improve governance and performance, and create value.

Company size
1,001-5,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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