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

Your Key Responsibilities

• Collaborating with diverse teams on varying skillsets, who use AI & Data technologies.
• Partner with clients to uncover strategic impact and opportunities for AI-driven transformation. Communicate insights clearly and help clients adopt AI successfully.
• Translate business requirements into scalable technical solutions using modern AI frameworks and cloud-native technologies.
• Build and deploy AI solutions including gen-AI & Agentic AI patterns & techniques to create strategic client value. Develop LLM-powered applications with sophisticated reasoning capabilities.
• Create RAG systems with effective vector retrieval, context management, and response generation. Build agentic AI workflows that can perform multi-step tasks with appropriate tool use.
• Ensure ethical AI practices, data privacy, and responsible deployment of AI and automation solutions.
• Collaborate with stakeholders across product, data science, and infrastructure to align architectural decisions with strategic goals.
• As an influential member of the team, you will create a positive learning culture and will coach and counsel junior members of the team sharing best practices, industry trends, and technical knowledge to foster professional growth and development.

Skills and Attributes for SuccessTo qualify for the role, you must have:

• Hands‑on Team Lead/Architect. Defines technical standards, codes daily, ensures compliance and safe MVP delivery.
• Experience: 5+ years across ML and AI systems design; proven delivery in enterprise
• Academic Credentials: Industry experience acceptable with enterprise‑scale delivery.
• 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.
• Experience deploying solutions into client infrastructure (cloud, hybrid, on-prem), navigating real-world constraints such as security, compliance, data residency, legacy systems.
• Expected Deliverables (indicative): Enterprise‑grade GenAI and multi‑agent orchestration; vendor/LLM selection and portfolio strategy (OpenAI, Anthropic, Gemini, Mistral, Llama, Hugging Face), established coding/CI/CD/documentation standards, storage and retrieval, knowledge architectures incl. RAG, agent perception layers.
• Core Skills: Python, Docker/Kubernetes/ECS at scale; event‑driven (Kafka/RabbitMQ).
• Patterns: Tree‑of‑Thought, multi‑agent orchestration, debate/deliberation agents; RLHF/RLAIF strategy awareness.
• Possess strong interpersonal and communication skills.

AI Skills

• Comprehensive AI across NLP, Computer Vision, Document Intelligence, Time Series, and multimodal GenAI.
• Usage of PyTorch/TensorFlow and Hugging Face; integration of ML into enterprise pipelines.
• Design of organization‑level evaluation and scoring frameworks (text, vision, multimodal) with release gates (R/A/G).
• Governance: alignment to EU AI Act; model/prompt/data versioning; audit logs; risk management.
• LLM Strategy: evaluate and standardize across providers (OpenAI, Anthropic, Google Gemini, Mistral, Llama) and vector platforms (Pinecone/Weaviate/Milvus).
• Cloud: multi‑cloud and hybrid architecture across AWS, Azure, and GCP; reliability/SLOs; cost/tokens governance.
• LLMOps/MLOps: automated testing, drift monitoring, safety/guardrails, CI/CD for ML, telemetry, lineage, and governance.

Ideally, you will also have

•  Experience in Financial Services is preferred.
•  MSc or PhD in a relevant field, or equivalent senior industry experience.
•  Experience in designing evaluation frameworks and release gates for AI models.
•  Knowledge of vector platforms like Pinecone, Weaviate, and Milvus.

What We Look For We are looking for innovative thinkers who are passionate about AI and eager to make a difference. You will thrive in a collaborative environment, bring a purpose-driven mindset, and embrace inclusivity. If you are agile, curious, and ready to lead transformative projects, we want to hear from you.

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 is 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
• Discounted Health Insurance
• Web Doctor – Free unlimited online GP Consultations for you and your family
• The purchase of additional annual leave
• Hybrid Working
• Free Gym Membership
• Travel Pass
• Maternity & Paternity Leave
• Bike to Work Scheme
• Recognition Awards
• Cash incentives for Referrals.
• Work Mobile
• Tech MBA paid by EY
• 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.

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 na