FS Technology Consulting - AI and Data - Forward Deployed AI Engineer - Manager - Dublin at EY
May no longer be active — verify on the employer site
At a glance
- Company
- EY
- Location
- Ireland
- Work arrangement
- On-site
- Employment type
- Full-time
- Experience
- 5–10 years
- Working hours
- 40 hours
- Visa sponsorship
- Offered, according to the listing
- Posted
- Added to The Stack
✨ The Stack take on this EY job
- 🏢 EY has 18 jobs here, 12 with visa sponsorship see all
- 🛂 Visa: Critical Skills Employment Permit. Occupations on the Critical Skills list: €40,904 a year with a relevant degree guide
- 💡 No salary shown. Ask EY if it is above the minimum.
Updated 2026-11-05, from our data and official sources.
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About the role
Responsibilities:
- Lead design and hands-on delivery of enterprise GenAI and agentic AI solutions for Financial Services clients, taking projects from concept to production.
- Translate business requirements into scalable architectures using LLMs, RAG, vector retrieval, multi-agent workflows, and cloud-native infrastructure.
- Build and deploy LLM-powered applications, establish MLOps/LLMOps pipelines, integrate vector DBs, and operationalize monitoring and governance.
- Advise clients on AI strategy, ethical practices, data privacy, and regulatory considerations (e.g., EU AI Act); ensure responsible deployment.
- Coach and lead cross-functional teams, present technical direction to stakeholders, and enable client teams to operate and evolve AI capabilities.
Requirements:
- 5+ years of experience designing and shipping ML/AI systems at enterprise scale with leadership or managerial responsibilities.
- Strong Python skills and hands-on experience with LLM frameworks and toolkits (PyTorch/TensorFlow/Hugging Face) and RAG patterns.
- Practical experience with cloud platforms (AWS/Azure/GCP), containers/orchestration (Docker, Kubernetes), and production MLOps practices.
- Familiarity with vector databases (Pinecone, Weaviate, Milvus) and building scalable retrieval pipelines and multi-agent orchestration.
- Excellent client-facing consulting skills, clear communication, and proven ability to operationalize ethical, compliant AI solutions.
Responsibilities
Lead the design and deployment of enterprise-grade GenAI and multi-agent orchestration solutions for Financial Services clients. Collaborate with stakeholders to translate business requirements into scalable technical architectures while coaching junior team members.
Requirements
Requires 5+ years of experience in ML and AI systems design with a proven track record of enterprise-scale delivery. Must be proficient in Python, cloud-native technologies, and modern AI frameworks including LLMs and RAG.
Key skills
- Python — in 1200 other listings on The Stack
- Generative AI — in 58 other listings on The Stack
- RAG Pipelines — in 7 other listings on The Stack
- Multi-agent Orchestration — in 1 other listing on The Stack
- LLMOps — in 3 other listings on The Stack
- MLOps — in 72 other listings on The Stack
- PyTorch — in 92 other listings on The Stack
- TensorFlow — in 55 other listings on The Stack
- Docker
- Kubernetes
- AWS
- Azure
- GCP
- Vector Databases
- Financial Services Consulting
- AI Governance
On The Stack (as of 2026-11-05)
Frequently asked questions about EY
Is this FS Technology Consulting - AI and Data - Forward Deployed AI Engineer - Manager - Dublin role still open?
It was posted on 2026-07-13. Listings more than 30 days old may no longer be active, so check EY's site before applying.
Does EY offer visa sponsorship?
This listing is marked as offering visa sponsorship. Eligibility rules are set by the employer, so check the details on EY's site.
Where is this role located?
The listing gives the location as Ireland. It is marked on-site.
What skills does this role ask for?
The listing names: Python, Generative AI, RAG Pipelines, Multi-agent Orchestration, LLMOps, MLOps, PyTorch, TensorFlow, Docker, Kubernetes, AWS, Azure, GCP, Vector Databases, Financial Services Consulting, AI Governance.