AI Delivery Architect
Posted 4 Oct 2026
Advertised as “AI & Data - Applied AI Delivery Architect - Senior Manager”
BranchFactor Summary
The original posting with the fluff stripped out
- Expected experience
- 7+ yrs
- Management level
- People management
- Employment
- Hybrid
- Contract
- Full-time
- Visa sponsorship
- Not offered
No salary listed for this role.
At EY, we’re all in to shape your future with confidence.
We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.
Join EY and help to build a better working world.
AI & Data – Applied AI Delivery Architect – Senior Manager
General Information
Location: Dublin
Available for Work Visa Sponsorship: NO
Business Area: UKI AI & Data
Contract Type: Full-Time – Permanent
The Team and the opportunity
This role sits at the centre of how EY translates AI ambition into scalable, production ready solutions for clients. Through collaboration and domain expertise, our team embeds innovative AI & Data solutions into existing business areas, transforming data into strategic assets. We are looking for an AI Delivery Architect who is passionate about leveraging AI & data to solve complex problems and drive business outcomes.
As an AI Delivery Architect at EY, you will act as a client embedded technical and architectural authority, responsible for shaping, designing, and delivering enterprise‑grade AI solutions from concept to scaled production.
You will work closely with EY Partners, account leaders, and senior client executives to translate AI ambition into secure, compliant, and production-ready architectures that withstand regulatory scrutiny and operate in complex enterprise environments.
This role combines deep AI architecture expertise, hands‑on delivery leadership, and commercial accountability, with a strong emphasis on Responsible AI, risk management, and sustainable client enablement.
Your Key Responsibilities
-
Serve as a trusted technical advisor to EY Partners and C-suite client stakeholders, shaping AI strategies and target architectures aligned to client business priorities, risk appetite, and regulatory context.
-
Define and own end-to-end AI solution architectures, including GenAI platforms (RAG, agents, copilots), ML platforms and model lifecycle management, data, integration, and API layers.
-
Design AI architectures that meet enterprise standards for security, resilience, auditability, and regulatory compliance, while navigating complex governance and legacy constraints.
-
Provide senior-level technical oversight during delivery, escalation, and production stabilisation, and lead the transition of AI solutions from PoV to scaled production, ensuring performance, reliability, and business adoption.