Applied AI Engineering Manager – Enterprise-Scale AI

EY; City of Edinburgh; Hybrid; GBP 120,000 - 150,000; Full time

Job summary

EY is seeking a Senior Applied AI Engineer (Manager) to lead technical delivery across AI solutions for financial services, the public sector and beyond. You will architect enterprise-grade AI services, mentor engineers and advance Responsible AI practices while ensuring production readiness.

Hybrid role with UK travel, client-facing leadership, and opportunities to shape architectures within EY's Azure/OpenAI collaborations. A PhD is desirable but not essential.

Qualifications

• Deep software/systems engineering (Python/TypeScript, distributed systems, CI/CD).
• Applied-AI expertise: LLM/RAG engineering; evaluation; telemetry/drift monitoring; versioning and release management.
• Cloud architecture (Azure/AWS/GCP), Kubernetes/Docker, serverless, IAM and network security.
• Data engineering depth (Spark/Databricks; ETL/ELT); cloud-native data + AI architectures.
• Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
• Consulting leadership: stakeholder, budget and risk management; team leadership.

Responsibilities

• Client-facing engineering & leadership across projects; engage senior stakeholders.
• Solution architecture & implementation leadership for enterprise AI services.
• Product mindset: mentor engineers, drive architectural reviews, reusable accelerators.

Skills

Python

TypeScript

Distributed systems

CI/CD

LLM/RAG engineering

Telemetry/drift monitoring

Versioning & release management

Cloud architecture

Kubernetes

Docker

Serverless

IAM & network security

Data engineering (Spark/Databricks; ET

Education

PhD in Computer Science/Applied Mathematics/Computer Engineering (desirable)

Tools

Azure

AWS

GCP

Kubernetes

Docker

Spark/Databricks

Job description

EY is seeking a Senior Applied AI Engineer (Manager) to lead technical delivery across AI solutions for financial services, the public sector and beyond. You will architect enterprise-grade AI services, mentor engineers and advance Responsible AI practices while ensuring production readiness.

Hybrid role with UK travel, client-facing leadership, and opportunities to shape architectures within EY's Azure/OpenAI collaborations. A PhD is desirable but not essential.