Senior AI Solutions Engineer – UK&I Internal Platforms Lead

EY

England

On-site

GBP 90,000 - 130,000

Full time

7 days ago
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Job summary

EY is seeking an UK&I SaT AI Solutions Engineer Senior Manager to design, develop and deploy internal AI‑enabled applications and platforms. This role focuses on internal product development, not client delivery, and requires strong full‑stack engineering with applied AI to scale adoption across SaT.

You will own end‑to‑end delivery, collaborate with product teams and internal tech groups, and ensure governance, security and maintainability across cloud deployments.

Qualifications

  • Excellent full‑stack engineering experience delivering production‑grade applications.
  • Experience building frontend interfaces and backend services, including APIs and integrations.
  • Strong understanding of data design with relational and NoSQL databases.
  • Experience deploying and operating applications in production on cloud platforms (preferably Azure).
  • Experience building and deploying AI‑enabled solutions or agents using platforms like Copilot or Azure.
  • Strong fundamentals: version control, testing and collaborative development practices.

Responsibilities

  • Design, build and deploy full‑stack internal applications across frontend, backend, data and AI components.
  • Develop AI‑enabled tools and agents for internal use using EY‑approved technologies.
  • Rapidly prototype ideas and evolve them into scalable, production‑ready solutions.
  • Ensure security, quality and reliability in production deployments.

Skills

Full‑stack engineering
Frontend & Backend
AI‑enabled solutions
Cloud platforms (Azure)
APIs & integrations
Version control & testing
Stakeholder communication
Delivery ownership

Tools

Copilot
Azure
Git

Job description

EY is seeking an UK&I SaT AI Solutions Engineer Senior Manager to design, develop and deploy internal AI‑enabled applications and platforms. This role focuses on internal product development, not client delivery, and requires strong full‑stack engineering with applied AI to scale adoption across SaT.

You will own end‑to‑end delivery, collaborate with product teams and internal tech groups, and ensure governance, security and maintainability across cloud deployments.

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