Senior Applied AI Engineer - Enterprise AI Lead

Ernst & Young Advisory Services Sdn Bhd; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

EY in London, Manchester, and the UK offers a hybrid AI engineering leadership role delivering production‑grade AI services across financial services, government, and industry. You will steer solution architectures, mentor squads, and ensure reliable, scalable systems in regulated environments.

Leading technical delivery with Azure OpenAI collaboration, you will guide architecture decisions, drive Responsible AI practices, and advance engineering leadership while traveling to client sites as

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.
• Enterprise integration and SRE principles (SLIs/SLOs, runbooks, rollback).
• Consulting leadership: stakeholder, budget and risk management; team leadership.
• Nice to have: Graph/big‑data stacks; streaming; cloud architect certifications and Responsible AI governance credentials.

Responsibilities

• Shape engineering approaches; engage senior stakeholders; articulate trade‑offs; ensure engineering quality across squads and complex client environments.
• Architect enterprise‑grade AI services (agents, RAG pipelines, orchestration layers); ensure operational readiness; drive Responsible AI, evaluation and best practices.
• Mentor engineers; lead technical reviews; establish reference architectures and reusable accelerators; contribute to internal knowledge sharing and external thought leadership.

Skills

Python/TypeScript

Distributed systems

CI/CD

LLM/RAG

Azure/AWS/GCP

Kubernetes/Docker

Serverless

IAM and security

SRE principles

Consulting leadership

Tools

Kubernetes

Docker

CI/CD

Azure

AWS

GCP

Job description

EY in London, Manchester, and the UK offers a hybrid AI engineering leadership role delivering production‑grade AI services across financial services, government, and industry. You will steer solution architectures, mentor squads, and ensure reliable, scalable systems in regulated environments.

Leading technical delivery with Azure OpenAI collaboration, you will guide architecture decisions, drive Responsible AI practices, and advance engineering leadership while traveling to client sites as