Senior Applied AI Engineer: Lead Production AI at Scale

EY; Greater London; Hybrid; GBP 90.000 - 150.000; Vollzeit

Zusammenfassung

EY seeks a Senior Applied AI Engineer (Manager) to lead technical delivery across client projects in Financial Services, Public and Private sectors. Hybrid work in London or other UK cities with travel.

You will architect production-grade AI systems and mentor engineering teams. You will apply Azure/OpenAI, champion Responsible AI, and guide architectures to meet regulatory and security demands in enterprise environments.

Qualifikationen

• Deep software/systems engineering with Python/TypeScript and CI/CD.
• Applied-AI expertise in LLM/RAG engineering, telemetry and drift monitoring.
• Cloud architecture across Azure/AWS/GCP with Kubernetes and Docker.
• Data engineering with Spark/Databricks and ETL/ELT.
• Enterprise SRE with SLIs/SLOs, runbooks and rollback practices.
• Consulting leadership: stakeholder, budget and risk management; team leadership.

Aufgaben

• Shape engineering approaches; engage senior stakeholders; ensure engineering quality across squads and client environments.
• Architect enterprise-grade AI services; ensure operational readiness; drive Responsible AI and best practices.
• Mentor engineers; lead technical reviews; establish reference architectures and accelerators; contribute to knowledge sharing.

Kenntnisse

Python

TypeScript

Distributed systems

CI/CD

LLM/RAG engineering

Telemetry & drift monitoring

Cloud architecture

Azure

AWS

GCP

Kubernetes

Docker

Serverless

IAM & network security

Spark/Databricks

ETL/ELT

SRE principles

Stakeholder management

Budget management

Team leadership

Ausbildung

PhD in Computer Science / Applied Mathematics / Computer Engineering

Tools

Azure OpenAI Service

Jobbeschreibung

EY seeks a Senior Applied AI Engineer (Manager) to lead technical delivery across client projects in Financial Services, Public and Private sectors. Hybrid work in London or other UK cities with travel.

You will architect production-grade AI systems and mentor engineering teams. You will apply Azure/OpenAI, champion Responsible AI, and guide architectures to meet regulatory and security demands in enterprise environments.